source("libraries.R", local = TRUE)
source("helpContent.R", local = TRUE)
suppressMessages(libraries())

# UI components ----
## Title ----
mytitle <- tags$link(
  tags$a(
    href = "https://www.bibliometrix.org/", target = "_blank",
    tags$img(src = "logo2.jpg", height = "40", width = "40")
  ),
  strong("bibliometrix")
)

intro <- "https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html"
importData <- "https://www.bibliometrix.org/vignettes/Data-Importing-and-Converting.html"
slides <- "https://bibliometrix.org/biblioshiny/assets/player/KeynoteDHTMLPlayer.html#0"
donation <- "https://www.bibliometrix.org/home/index.php/donation"
bibliometrixWeb <- "https://www.bibliometrix.org/"
k_synth <- "https://www.k-synth.unina.it"
github_aria <- "https://github.com/massimoaria/bibliometrix"

style_opt <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (option button)
style_bttn <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (action buttons)
t_report <- "Add Results to the Report"
t_export <- "Export Plot as PNG"
t_run <- "Run the Analysis"
run_bttn <- list(
  label = NULL,
  style = "material-circle",
  color = "primary",
  icon = icon(name = "play", lib = "glyphicon")
)
report_bttn <- list(
  label = NULL,
  style = "material-circle",
  color = "primary",
  icon = icon(name = "plus", lib = "glyphicon")
)
export_bttn <- list(
  label = NULL,
  style = "material-circle",
  color = "primary",
  icon = icon(name = "download", lib = "glyphicon")
)

## load content of Info page
biblioAI <- helpContent()$biblioAI
info <- helpContent()$info
pubs <- helpContent()$publications
## Header ----
header <- shinydashboardPlus::dashboardHeader(
  title = mytitle,
  titleWidth = 300,
  # controlbarIcon = fa_i(name ="bars"),
  dropdownMenuOutput("notificationMenu"),
  dropdownMenu(
    type = "messages",
    icon = icon("question"),
    badgeStatus = NULL,
    headerText = strong("Help Menu"),
    messageItem2(
      from = "Package Tutorial",
      message = "",
      href = intro,
      icon = icon("play-circle", lib = "glyphicon")
    ),
    messageItem2(
      from = "Convert and Import Data",
      message = "",
      icon = icon("info-sign", lib = "glyphicon"),
      href = importData
    ),
    messageItem2(
      icon = icon("play", lib = "glyphicon"),
      from = "biblioshiny Tutorial",
      message = "",
      href = slides
    )
  ),
  dropdownMenu(
    type = "messages",
    icon = icon("comment-dollar", lib = "font-awesome"),
    badgeStatus = NULL,
    headerText = strong("Donate"),
    messageItem2(
      from = "Donation",
      message = "",
      href = donation,
      icon = icon("share-alt", lib = "glyphicon")
    )
  ),
  dropdownMenu(
    type = "messages",
    icon = fa_i(name = "cube"),
    badgeStatus = NULL,
    headerText = strong("Credits"),
    messageItem2(
      from = "Bibliometrix",
      message = "",
      href = bibliometrixWeb,
      icon = fa_i(name = "globe")
    ),
    messageItem2(
      from = "K-Synth",
      message = "",
      href = k_synth,
      icon = fa_i(name = "watchman-monitoring")
    ),
    messageItem2(
      from = "Github",
      message = "",
      href = github_aria,
      icon = fa_i(name = "github")
    )
  ),
  tags$li(
    class = "dropdown",
    tags$style(".main-header .logo {height: 53px}")
  )
)

## Side Bar ----
sidebar <- shinydashboardPlus::dashboardSidebar(
  useShinyjs(),
  sidebarMenu(
    id = "sidebarmenu",
    menuItem("biblioshiny", tabName = "biblioshinyy", icon = fa_i(name = "house-user")),
    menuItem("Info",
      tabName = "info", icon = fa_i(name = "circle-info"),
      menuSubItem("Biblio AI", tabName = "biblioAI", icon = fa_i(name = "microchip")),
      menuSubItem("Supported Files", tabName = "supFiles", icon = fa_i(name = "database")),
      menuSubItem("Team's Publications", tabName = "pubs", icon = fa_i(name = "book"))
    ),
    menuItem("Data",
      tabName = "uploadData", icon = fa_i(name = "file-import"),
      menuSubItem("Import or Load", tabName = "loadData", icon = icon("chevron-right", lib = "glyphicon")),
      menuSubItem("API", tabName = "gathData", icon = icon("chevron-right", lib = "glyphicon")),
      menuSubItem("Merge Collections", tabName = "mergeData", icon = icon("chevron-right", lib = "glyphicon"))
    ),
    menuItemOutput("rest_of_sidebar"),
    menuItem("Settings", tabName = "settings", icon = fa_i(name = "sliders"))
  ),
  textOutput("res"),
  width = 300
)

## Body ####

### Theme ----
data("customTheme", envir = environment())
### Body Content ----
body <- dashboardBody(
  customTheme,
  ## workaround to solve visualization issues in Data Table
  tags$head(tags$style(HTML(".has-feedback .form-control { padding-right: 0px;}"))),
  ###
  tags$head(
    tags$style(".fa-envelope {color:#FF0000; font-size: 20px}"),
    tags$style(".fa-envelope-open {font-size: 20px}"),
    tags$style(".fa-cube {font-size: 20px}"),
    tags$style(".fa-question {font-size: 20px}"),
    tags$style(".fa-comment-dollar {font-size: 20px}"),
    tags$style(".fa-bars {font-size: 20px}"),
    tags$style(".sidebar-toggle {font-size: 15px}"),
    tags$script(
      'var dimension = [0, 0];
              $(document).on("shiny:connected", function(e) {
                  dimension[0] = window.innerWidth;
                  dimension[1] = window.innerHeight;
                  Shiny.onInputChange("dimension", dimension);
              });
              $(window).resize(function(e) {
                  dimension[0] = window.innerWidth;
                  dimension[1] = window.innerHeight;
                  Shiny.onInputChange("dimension", dimension);
              });
              $(document).ready(function(){
                  $("a[data-toggle=tab]").on("show.bs.tab", function(e){
                    Shiny.setInputValue("activeTab", $(this).attr("data-value"));
                   });
            });
      '
    )
  ),
  tabItems(
    #### Homepage ----
    ##### home ----
    tabItem(
      "biblioshinyy",
      fluidPage(
        fluidRow(
          column(
            12,
            div(h1("biblioshiny: the shiny app for bibliometrix",
              style = "text-align:center; font-size:50px;"
            )),
            br()
          ),
          column(
            12,
            div(img(src = "logoAI.jpg", height = "35%", width = "35%"), style = "text-align: center;")
          ),
          column(
            12,
            div(h3(em("Biblioshiny 5.0 now includes Biblio AI – a powerful AI assistant for your science mapping analyses.",
            #   em(a("bibliometrix website.",
            #     href = "https://www.bibliometrix.org", target = "_blank"
            #   )),
              ),style = "text-align:center; font-size:24px;"
            )),
            br(),
            hr()
          ),
          column(
            12,
            div(h6("biblioshiny and bibliometrix are open-source and freely available for use, distributed under the MIT license.",
              style = "text-align:center; font-size:19px;"
            )),
            div(h6("When they are used in a publication, we ask that authors to cite the following reference:",
              style = "text-align:center; font-size:19px;"
            )),
            div(h6("Aria, M., & Cuccurullo, C. (2017).", strong(" bibliometrix: An R-tool for comprehensive"),
              style = "text-align:center; font-size:22px;"
            )),
            div(h6(strong("science mapping analysis."),
              em("Journal of Informetrics"), ", 11(4), 959-975.",
              style = "text-align:center; font-size:22px;"
            )),
            br(),
            div(h6("Failure to properly cite the software is considered a violation of the license.",
              style = "text-align:center; font-size:19px;"
            )),
            br(),
            div(p("For an introduction and live examples, visit the ",
              em(a("bibliometrix website.",
                href = "https://www.bibliometrix.org", target = "_blank"
              )),
              style = "text-align:center; font-size:18px;"
            )),
          )
        )
      )
    ),
    tabItem(
      "biblioAI",
      fluidPage(
        fluidRow(
          column(1),
          column(
            10,
            HTML(biblioAI)
          ),
          column(1)
        )
      )
    ),
    tabItem(
      "supFiles",
      fluidPage(
        fluidRow(
          column(1),
          column(
            10,
            HTML(info),
            div(img(src = "table_DBformats.jpg", height = "70%", width = "70%"), style = "text-align: center;")
          ),
          column(1)
        )
      )
    ),
    tabItem(
      "pubs",
      fluidPage(
        fluidRow(
          column(1),
          column(
            10,
            HTML(pubs)
          ),
          column(1)
        )
      )
    ),
    #### Data ----
    ##### load Data ----
    tabItem(
      "loadData",
      fluidPage(
        fluidRow(
          div(
            tags$head(tags$style(
              HTML(
                "table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover {
                                  background-color: #9c4242 !important;
                                  }
                                  "
              )
            )),
            tags$style(
              HTML(
                ".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled {
                  color: #000000 !important;
                  }"
              )
            ),
            column(
              9,
              uiOutput("collection_descriptionUI"),
              shinycssloaders::withSpinner(DT::DTOutput("contents"))
            ),
            column(
              3,
              fluidRow(
                box(
                  width = "100%",
                  h3(strong("Import or Load ")),
                  selectInput("load",
                    label = "Please, choose what to do",
                    choices = c(
                      " " = "null",
                      "Import raw file(s)" = "import",
                      "Load bibliometrix file(s)" = "load",
                      "Use a sample collection" = "demo"
                    ),
                    selected = "null"
                  ),
                  conditionalPanel(
                    condition = "input.load == 'demo'",
                    helpText(
                      h4(strong("The use of bibliometric approaches in business and management disciplines.")),
                      h5(strong("Dataset 'Management'")),
                      em(
                        "A collection of scientific articles about the use of bibliometric approaches",
                        "in business and management disciplines."
                      ),
                      br(),
                      em("Period: 1985 - 2020
                                                    , Source WoS.")
                    )
                  ),
                  conditionalPanel(
                    condition = "input.load == 'import'",
                    selectInput(
                      "dbsource",
                      label = "Database",
                      choices = c(
                        "Web of Science (WoS/WoK)" = "isi",
                        "Scopus" = "scopus",
                        "Dimensions" = "dimensions",
                        "Openalex" = "openalex",
                        "OpenAlex API (via openalexR)" = "openalex_api",
                        "Lens.org" = "lens",
                        "PubMed" = "pubmed",
                        "Cochrane Library" = "cochrane"
                      ),
                      selected = "isi"
                    ),
                    selectInput(
                      "authorName",
                      label = "Author Name format",
                      choices = c(
                        "Fullname (if available)" = "AF",
                        "Surname and Initials" = "AU"
                      ),
                      selected = "AU"
                    )
                  ),
                  conditionalPanel(
                    condition = "input.load != 'null' & input.load != 'demo'",
                    conditionalPanel(
                      condition = "input.load == 'load'",
                      helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix"))
                    ),
                    fileInput(
                      "file1",
                      "Choose a file",
                      multiple = FALSE,
                      accept = c(
                        ".csv",
                        ".txt",
                        ".ciw",
                        ".bib",
                        ".xlsx",
                        ".zip",
                        ".xls",
                        ".rdata",
                        ".rda",
                        ".rds"
                      )
                    )
                  ),
                  conditionalPanel(
                    condition = "input.load != 'null'",
                    fluidRow(column(
                      12,
                      div(
                        style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
                        align = "center",
                        width = "100%",
                        actionBttn(
                          inputId = "applyLoad", label = strong("Start"),
                          width = "100%", style = "pill", color = "primary",
                          icon = icon(name = "play", lib = "glyphicon")
                        )
                      )
                    ))
                  ),
                  tags$hr(),
                  uiOutput("textLog2"),
                  tags$hr(),
                  h3(strong(
                    "Export collection"
                  )),
                  selectInput(
                    "save_file",
                    "Save as:",
                    choices = c(
                      " " = "null",
                      "Excel" = "xlsx",
                      "R Data Format" = "RData"
                    ),
                    selected = "null"
                  ),
                  conditionalPanel(
                    condition = "input.save_file != 'null'",
                    fluidRow(column(
                      12,
                      div(
                        style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
                        align = "center",
                        width = "100%",
                        downloadBttn(
                          outputId = "collection.save", label = strong("Export"),
                          # width = "100%",
                          style = "pill", color = "primary"
                        )
                      )
                    ))
                  )
                )
              )
            )
          )
        )
      )
    ),
    ##### gather Data ----
    tabItem(
      "gathData",
      fluidPage(
        fluidRow(
          tags$head(tags$style(
            HTML(
              "table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover {
                                  background-color: #9c4242 !important;
                                  }
                                  "
            )
          )),
          tags$style(
            HTML(
              ".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled {
                  color: #000000 !important;
                  }"
            )
          ),
          column(9, shinycssloaders::withSpinner(DT::DTOutput("apiContents"))),
          column(
            3,
            box(
              width = "100%",
              h3(strong(
                "Gather data using APIs "
              )),
              br(),
              selectInput(
                "dbapi",
                label = "Database",
                choices = c(
                  "DS Dimensions" = "ds",
                  "PubMed" = "pubmed"
                ),
                selected = "pubmed"
              ),
              ## Dimenions API
              conditionalPanel(
                condition = "input.dbapi == 'ds'",
                br(),
                fluidRow(column(
                  12,
                  div(
                    style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
                    align = "center",
                    width = "100%",
                    actionBttn(
                      inputId = "dsShow", label = "1. Configure API",
                      style = "pill", color = "primary",
                      icon = icon(name = "sliders")
                    )
                  )
                )),
                # h5(tags$b("Your Query")),
                verbatimTextOutput("queryLog2", placeholder = FALSE),
                h5(tags$b("Documents returned using your query")),
                verbatimTextOutput("sampleLog2", placeholder = FALSE)
              ),
              ### Pubmed API
              conditionalPanel(
                condition = "input.dbapi == 'pubmed'",
                br(),
                fluidRow(column(
                  12,
                  div(
                    style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
                    align = "center",
                    width = "100%",
                    actionBttn(
                      inputId = "pmShow", label = "1. Configure API",
                      style = "pill", color = "primary",
                      icon = icon(name = "sliders")
                    )
                  )
                )),
                # h5(tags$b("Your Query")),
                verbatimTextOutput("pmQueryLog2", placeholder = FALSE),
                h5(tags$b("Documents returned using your query")),
                verbatimTextOutput("pmSampleLog2", placeholder = FALSE),
              ),
              tags$hr(),
              fluidRow(column(
                12,
                div(
                  style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
                  align = "center",
                  width = "100%",
                  actionBttn(
                    inputId = "apiApply", label = "2. Download",
                    style = "pill", color = "primary",
                    icon(name = "download")
                  )
                )
              )),
              tags$hr(),
              h3(strong("Export a bibliometrix file ")),
              br(),
              selectInput(
                "save_file_api",
                "Save as:",
                choices = c(
                  " " = "null",
                  "Excel" = "xlsx",
                  "R Data Format" = "RData"
                ),
                selected = "null"
              ),
              conditionalPanel(
                condition = "input.save_file_api != 'null'",
                fluidRow(column(
                  12,
                  div(
                    style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
                    align = "center",
                    width = "100%",
                    downloadBttn(
                      outputId = "collection.save_api", label = strong("Export"),
                      style = "pill", color = "primary"
                    )
                  )
                ))
              )
            )
          )
        )
      )
    ),
    ##### merge Data ----
    tabItem(
      "mergeData",
      fluidPage(
        fluidRow(
          div(
            tags$head(tags$style(
              HTML(
                "table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover {
                                  background-color: #9c4242 !important;
                                  }
                                  "
              )
            )),
            tags$style(
              HTML(
                ".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled {
                  color: #000000 !important;
                  }"
              )
            ),
            column(
              9,
              uiOutput("collection_description_mergeUI"),
              shinycssloaders::withSpinner(DT::DTOutput("contentsMerge"))
            ),
            column(
              3,
              fluidRow(
                box(
                  width = "100%",
                  h3(strong("Load Collections")),
                  helpText(em("Merge collections in Excel or R format coming from different DBs")),
                  fileInput(
                    "fileMerge",
                    "Select collection files",
                    multiple = TRUE,
                    accept = c(
                      ".xlsx",
                      ".rdata"
                    )
                  )
                ),
                fluidRow(column(
                  12,
                  div(
                    style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
                    align = "center",
                    width = "100%",
                    actionBttn(
                      inputId = "applyMerge", label = strong("Start"),
                      width = "100%", style = "pill", color = "primary",
                      icon = icon(name = "play", lib = "glyphicon")
                    )
                  )
                ))
              ),
              tags$hr(),
              h3(strong(
                "Export collection"
              )),
              selectInput(
                "save_fileMerge",
                "Save as:",
                choices = c(
                  " " = "null",
                  "Excel" = "xlsx",
                  "R Data Format" = "RData"
                ),
                selected = "null"
              ),
              conditionalPanel(
                condition = "input.save_fileMerge != 'null'",
                fluidRow(column(
                  12,
                  div(
                    style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
                    align = "center",
                    width = "100%",
                    downloadBttn(
                      outputId = "collection.saveMerge", label = strong("Export"),
                      # width = "100%",
                      style = "pill", color = "primary"
                    )
                  )
                ))
              )
            )
          )
        )
      )
    ),
    #### Filters ----
    tabItem(
      "filters",
      fluidRow(
        column(9, DT::DTOutput("dataFiltered")),
        column(
          3,
          box(
            width = "100%",
            h3(strong("Filters")),
            br(),
            fluidRow(column(
              12,
              div(
                style = "border-radius: 10px; border-width: 3px; font-size: 15px;",
                align = "center",
                width = "100%",
                actionBttn(
                  inputId = "applyFilter", label = strong("Apply"),
                  width = "100%", style = "pill", color = "primary",
                  icon = icon(name = "play", lib = "glyphicon")
                )
              )
            )),
            h5(" "),
            box(h6(htmlOutput("textDim")),
              width = "100%"
            ),
            br(),
            uiOutput("selectLA"),
            uiOutput("sliderPY"),
            uiOutput("selectType"),
            uiOutput("sliderTCpY"),
            selectInput("bradfordSources",
              label = "Source by Bradford Law Zones",
              choices = c(
                "Core Sources" = "core",
                "Core + Zone 2 Sources" = "zone2",
                "All Sources" = "all"
              ),
              selected = "all"
            )
          )
        )
      )
    ),
    #### Overview ----
    ##### main information ----
    tabItem(
      "mainInfo",
      fluidPage(
        fluidRow(
          column(
            11,
            h3(strong("Main Information"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMI"
              )))
            )
          )
        ),
        fluidRow(
          #div(id = "valuebox-container",
          tabsetPanel(
            type = "tabs", id = "maininfo",
            tabPanel(
              "Plot",
              fluidRow(
                br(),
                column(
                  3,
                  valueBoxOutput("Timespan", width = "33vh"),
                  valueBoxOutput("au", width = "33vh"),
                  valueBoxOutput("kw", width = "33vh")
                ),
                column(
                  3,
                  valueBoxOutput("so", width = "33vh"),
                  valueBoxOutput("auS1", width = "33vh"),
                  valueBoxOutput("cr", width = "33vh")
                ),
                column(
                  3,
                  valueBoxOutput("doc", width = "33vh"),
                  valueBoxOutput("col", width = "33vh"),
                  valueBoxOutput("agePerDoc", width = "33vh")
                ),
                column(
                  3,
                  valueBoxOutput("cagr", width = "33vh"),
                  valueBoxOutput("coAuPerDoc", width = "33vh"),
                  valueBoxOutput("tc", width = "33vh")
                ),
              )
            ),
            tabPanel("Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "MainInfo", width = 700)),
              align = "center"
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("MainInfoGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
          #) # end div
        )
      )
    ),
    ##### annual scientific production ----
    tabItem(
      "annualScPr",
      fluidPage(
        fluidRow(
          column(
            10,
            h3(strong("Annual Scientific Production"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportASP"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "ASPplot.save"
              )))
            )
          )
        ),
        fluidRow(
          tabsetPanel(
            id = "tabsASP",
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "AnnualProdPlot", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("AnnualProdTable"))
            )
          )
        )
      )
    ),
    ##### average citation per year ----
    tabItem(
      "averageCitPerYear",
      fluidPage(
        fluidRow(
          column(
            10,
            h3(strong("Average Citations Per Year"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportACpY"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "ACpYplot.save"
              )))
            )
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "AnnualTotCitperYearPlot", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("AnnualTotCitperYearTable"))
            )
          )
        )
      )
    ),
    ##### three fields plot ----
    tabItem(
      "threeFieldPlot",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Three-Field Plot"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "apply3F"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportTFP"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("actionBttn", c(export_bttn, list(
                inputId = "screenTFP"
              )))
            )
          ),
          div(
            style = style_opt,
            column(
              1,
              dropdown(
                box(
                  title = h4(strong("Parameters")),
                  collapsible = FALSE,
                  width = 15,
                  solidHeader = FALSE,
                  fluidRow(
                    column(6, selectInput("CentralField",
                                          label = "Middle Field",
                                          choices = c(
                                            "Authors" = "AU",
                                            "Affiliations" = "AU_UN",
                                            "Countries" = "AU_CO",
                                            "Keywords" = "DE",
                                            "Keywords Plus" = "ID",
                                            "All Keywords" = "KW_Merged",
                                            "Titles" = "TI_TM",
                                            "Abstract" = "AB_TM",
                                            "Sources" = "SO",
                                            "References" = "CR",
                                            "Cited Sources" = "CR_SO"
                                          ),
                                          selected = "AU"
                    )),
                    column(6, numericInput("CentralFieldn",
                                           label = ("Number of items"),
                                           min = 1, max = 50, step = 1, value = 20
                    ))
                  ),
                  fluidRow(
                    column(6, selectInput("LeftField",
                                          label = "Left Field",
                                          choices = c(
                                            "Authors" = "AU",
                                            "Affiliations" = "AU_UN",
                                            "Countries" = "AU_CO",
                                            "Keywords" = "DE",
                                            "Keywords Plus" = "ID",
                                            "All Keywords" = "KW_Merged",
                                            "Titles" = "TI_TM",
                                            "Abstract" = "AB_TM",
                                            "Sources" = "SO",
                                            "References" = "CR",
                                            "Cited Sources" = "CR_SO"
                                          ),
                                          selected = "CR"
                    )),
                    column(6, numericInput("LeftFieldn",
                                           label = ("Number of items"),
                                           min = 1, max = 50, step = 1, value = 20
                    ))
                  ),
                  fluidRow(
                    column(6, selectInput("RightField",
                                          label = "Right Field",
                                          choices = c(
                                            "Authors" = "AU",
                                            "Affiliations" = "AU_UN",
                                            "Countries" = "AU_CO",
                                            "Keywords" = "DE",
                                            "Keywords Plus" = "ID",
                                            "All Keywords" = "KW_Merged",
                                            "Titles" = "TI_TM",
                                            "Abstract" = "AB_TM",
                                            "Sources" = "SO",
                                            "References" = "CR",
                                            "Cited Sources" = "CR_SO"
                                          ),
                                          selected = "KW_Merged"
                    )),
                    column(6, numericInput("RightFieldn",
                                           label = ("Number of items"),
                                           min = 1, max = 50, step = 1, value = 20
                    ))
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            )
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel("Plot",
                     shinycssloaders::withSpinner(plotlyOutput(outputId = "ThreeFieldsPlot", height = "90vh"))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("TFPGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    #### Sources ----
    ##### relevant sources ----
    tabItem(
      "relevantSources",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Most Relevant Sources"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyMRSources"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMRS"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "MRSplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput("MostRelSourcesK",
                  label = ("Number of Sources"),
                  value = 10
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelSourcesPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostRelSourcesTable"))
            )
          )
        )
      )
    ),
    ##### local cited sources ----
    tabItem(
      "localCitedSources",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Most Local Cited Sources"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyMLCSources"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMLS"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "MLCSplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput("MostRelCitSourcesK",
                  label = ("Number of Sources"),
                  value = 10
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelCitSourcesPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostRelCitSourcesTable"))
            )
          )
        )
      )
    ),
    ##### bradford law ----
    tabItem(
      "bradford",
      fluidPage(
        fluidRow(
          column(
            10,
            # titlePanel(
            h3(strong("Core Sources by Bradford's Law"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportBradford"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "BLplot.save"
              )))
            )
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "bradfordPlot", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("bradfordTable"))
            )
          )
        )
      )
    ),
    ##### source local impact ----
    tabItem(
      "sourceImpact",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Sources' Local Impact"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyHsource"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportSI"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "SIplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("HmeasureSources",
                  label = "Impact measure",
                  choices = c(
                    "H-Index" = "h",
                    "G-Index" = "g",
                    "M-Index" = "m",
                    "Total Citation" = "tc"
                  ),
                  selected = "h"
                ),
                br(),
                numericInput("Hksource",
                  label = ("Number of sources"),
                  value = 10
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "SourceHindexPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "SourceHindexTable"))
            )
          )
        )
      )
    ),
    ##### sources prod over time ----
    tabItem(
      "sourceDynamics",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Sources' Production over Time"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applySOGrowth"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportSD"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "SDplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("cumSO", "Occurrences",
                  choices = c(
                    "Cumulate" = "Cum",
                    "Per year" = "noCum"
                  ),
                  selected = "Cum"
                ),
                sliderInput("topSO",
                  label = "Number of Sources",
                  min = 1, max = 50, step = 1, value = c(1, 5)
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "soGrowthPlot", height = "90vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "soGrowthtable"))
            )
          )
        )
      )
    ),
    #### Authors ----
    ##### most relevant authors ----
    tabItem(
      "mostRelAuthors",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Most Relevant Authors"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyMRAuthors"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMRA"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "MRAplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput("MostRelAuthorsK",
                  label = ("Number of Authors"),
                  value = 10
                ),
                selectInput("AuFreqMeasure",
                  label = "Frequency measure",
                  choices = c(
                    "N. of Documents " = "t",
                    "Percentage" = "p",
                    "Fractionalized Frequency" = "f"
                  ),
                  selected = "t"
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelAuthorsPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostRelAuthorsTable"))
            )
          )
        )
      )
    ),
    ##### most local cited authors ----
    tabItem(
      "mostLocalCitedAuthors",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Most Local Cited Authors"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyMLCAuthors"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMLCA"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "MLCAplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput("MostCitAuthorsK",
                  label = ("Number of Authors"),
                  value = 10
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitAuthorsPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostCitAuthorsTable"))
            )
          )
        )
      )
    ),
    ##### authors production over time ----
    tabItem(
      "authorsProdOverTime",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Authors' Production over Time"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyAUoverTime"
              )))
            )
          ), div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportAPOT"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "APOTplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput("TopAuthorsProdK",
                  label = ("Number of Authors"),
                  value = 10
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "TopAuthorsProdPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table - Production per Year",
              shinycssloaders::withSpinner(DT::DTOutput("TopAuthorsProdTable"))
            ),
            tabPanel(
              "Table - Documents",
              shinycssloaders::withSpinner(DT::DTOutput("TopAuthorsProdTablePapers"))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("ApotGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
            
          )
        )
      )
    ),
    ##### lotka law ----
    tabItem(
      "lotka",
      fluidPage(
        fluidRow(
          column(
            10,
            h3(strong("Author Productivity through Lotka's Law"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportLotka"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "LLplot.save"
              )))
            )
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "lotkaPlot", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("lotkaTable"))
            )
          )
        )
      )
    ),
    ##### authors local impact ----
    tabItem(
      "authorImpact",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Authors' Local Impact"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyHAuthors"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportAI"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "AIplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("HmeasureAuthors",
                  label = "Impact measure",
                  choices = c(
                    "H-Index" = "h",
                    "G-Index" = "g",
                    "M-Index" = "m",
                    "Total Citation" = "tc"
                  ),
                  selected = "h"
                ),
                numericInput("Hkauthor",
                  label = ("Number of authors"),
                  value = 10
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "AuthorHindexPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "AuthorHindexTable"))
            )
          )
        )
      )
    ),
    ##### most relevant affiliations ----
    tabItem(
      "mostRelAffiliations",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Most Relevant Affiliations"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyMRAffiliations"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMRAFF"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "AFFplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("disAff",
                  label = "Affiliation Name Disambiguation",
                  choices = c(
                    "Yes" = "Y",
                    "No" = "N"
                  ),
                  selected = "Y"
                ),
                numericInput("MostRelAffiliationsK",
                  label = ("Number of Affiliations"),
                  value = 10
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelAffiliationsPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostRelAffiliationsTable"))
            )
          )
        )
      )
    ),
    ##### Affiliation over Time ----
    tabItem(
      "AffOverTime",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Affiliations' Production over Time"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyAFFGrowth"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportAFFPOT"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "AffOverTimeplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput("topAFF",
                  label = "Number of Affiliations",
                  min = 1, max = 50, step = 1, value = 5
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "AffOverTimePlot", height = "90vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "AffOverTimeTable"))
            )
          )
        )
      )
    ),
    ##### corresponding author country ----
    tabItem(
      "correspAuthorCountry",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Corresponding Author's Countries"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyCAUCountries"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMRCO"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "MRCOplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput("MostRelCountriesK",
                  label = ("Number of Countries"),
                  value = 20, min = 1, max = 50
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelCountriesPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostRelCountriesTable"))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("MostRelCountriesGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    ##### country scientific production ----
    tabItem(
      "countryScientProd",
      fluidPage(
        fluidRow(
          column(
            10,
            h3(strong("Countries' Scientific Production"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportCSP"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "CSPplot.save"
              )))
            )
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "countryProdPlot", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("countryProdTable"))
            )
          )
        )
      )
    ),
    ##### Country over Time ----
    tabItem(
      "COOverTime",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Countries' Production over Time"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyCOGrowth"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportCPOT"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "CountryOverTimeplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                sliderInput("topCO",
                  label = "Number of Countries",
                  min = 1, max = 50, step = 1, value = 5
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "CountryOverTimePlot", height = "90vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "CountryOverTimeTable"))
            )
          )
        )
      )
    ),
    ##### most cited countries ----
    tabItem(
      "mostCitedCountries",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Most Cited Countries"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyMCCountries"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMCCO"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "MCCplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("CitCountriesMeasure",
                  label = "Measure",
                  choices = c(
                    "Total Citations" = "TC",
                    "Average Article Citations" = "TCY"
                  ),
                  selected = "TC"
                ),
                numericInput("MostCitCountriesK",
                  label = ("Number of Countries"),
                  value = 10
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitCountriesPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostCitCountriesTable"))
            )
          )
        )
      )
    ),
    #### Documents ----
    ##### most global cited documents ----
    tabItem(
      "mostGlobalCitDoc",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Most Global Cited Documents"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyMGCDocuments"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMCD"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "MGCDplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput("MostCitDocsK",
                  label = ("Number of Documents"),
                  value = 10
                ),
                selectInput("CitDocsMeasure",
                  label = "Measure",
                  choices = c(
                    "Total Citations" = "TC",
                    "Total Citations per Year" = "TCY"
                  ),
                  selected = "TC"
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitDocsPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostCitDocsTable"))
            )
          )
        )
      )
    ),
    ##### most local cited documents ----
    tabItem(
      "mostLocalCitDoc",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Most Local Cited Documents"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyMLCDocuments"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMLCD"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "MLCDplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput("MostLocCitDocsK",
                  label = ("Number of Documents"),
                  value = 10
                ),
                selectInput(
                  inputId = "LocCitSep",
                  label = "Field separator character",
                  choices = c(
                    ";" = ";",
                    ".  " = ".  ",
                    "," = ","
                  ),
                  selected = ";"
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostLocCitDocsPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostLocCitDocsTable"))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("MostLocCitDocsGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    ##### most local cited references ----
    tabItem(
      "mostLocalCitRef",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Most Local Cited References"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyMLCReferences"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMLCR"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "MLCRplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput("MostCitRefsK",
                  label = ("Number of Documents"),
                  value = 10
                ),
                selectInput(
                  inputId = "CitRefsSep",
                  label = "Field separator character",
                  choices = c(
                    ";" = ";",
                    ".  " = ".  ",
                    "," = ","
                  ),
                  selected = ";"
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostCitRefsPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostCitRefsTable"))
            )
          )
        )
      )
    ),
    ##### references spectroscopy ----
    tabItem(
      "ReferenceSpect",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Reference Spectroscopy"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyRPYS"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportRPYS"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "RSplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput(
                  inputId = "rpysSep",
                  label = "Field separator character",
                  choices = c(
                    ";" = ";",
                    ".  " = ".  ",
                    "," = ","
                  ),
                  selected = ";"
                ),
                h4(em(strong("Time slice"))),
                fluidRow(
                  column(
                    6,
                    numericInput(
                      inputId = "rpysMinYear",
                      label = "Starting Year",
                      value = NA,
                      step = 1
                    )
                  ),
                  column(
                    6,
                    numericInput(
                      inputId = "rpysMaxYear",
                      label = "End Year",
                      value = NA,
                      step = 1
                    )
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "rpysPlot", height = "75vh"))
            ),
            tabPanel(
              "Table - RPYS",
              shinycssloaders::withSpinner(DT::DTOutput(
                outputId = "rpysTable"
              ))
            ),
            tabPanel(
              "Table - Cited References",
              shinycssloaders::withSpinner(DT::DTOutput(
                outputId = "crTable"
              ))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("rpysGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    ##### most frequent words ----
    tabItem(
      "mostFreqWords",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Most Frequent Words"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyMFWords"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportMFW"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "MRWplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("MostRelWords", "Field",
                  choices = c(
                    "Keywords Plus" = "ID",
                    "Author's keywords" = "DE",
                    "All Keywords" = "KW_Merged",
                    "Titles" = "TI",
                    "Abstracts" = "AB",
                    "Subject Categories (WoS)" = "WC"
                  ),
                  selected = "KW_Merged"
                ),
                conditionalPanel(
                  condition = "input.MostRelWords == 'AB' |input.MostRelWords == 'TI'",
                  selectInput("MRWngrams", "N-Grams",
                    choices = c(
                      "Unigrams" = "1",
                      "Bigrams" = "2",
                      "Trigrams" = "3"
                    ),
                    selected = 1
                  )
                ),
                numericInput("MostRelWordsN", label = "Number of words", min = 2, max = 100, step = 1, value = 10),
                br(),
                box(
                  title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  selectInput("MostRelWordsStopFile", "Load a list of terms to remove",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.MostRelWordsStopFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
                    ),
                    fileInput("MostRelWordsStop", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("MostRelWordsSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    )
                    # ,h5(htmlOutput("MostRelWordsStopPreview"))
                  ),
                  selectInput("MRWSynFile", "Load a list of synonyms",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.MRWSynFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
                              Rows have to be separated by return separator."))
                    ),
                    fileInput("MRWSyn", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("MRWSynSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    )
                    # ,h5(htmlOutput("MRWSynPreview"))
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "MostRelWordsPlot", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("MostRelWordsTable"))
            )
          )
        )
      )
    ),
    ##### word cloud ----
    tabItem(
      "wcloud",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("WordCloud"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyWordCloud"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportWC"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("actionBttn", c(export_bttn, list(
                inputId = "screenWC"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("summaryTerms", "Field",
                  choices = c(
                    "Keywords Plus" = "ID",
                    "Author's keywords" = "DE",
                    "All Keywords" = "KW_Merged",
                    "Titles" = "TI",
                    "Abstracts" = "AB",
                    "Subject Categories (WoS)" = "WC"
                  ),
                  selected = "KW_Merged"
                ),
                conditionalPanel(
                  condition = "input.summaryTerms == 'AB' |input.summaryTerms == 'TI'",
                  selectInput("summaryTermsngrams", "N-Grams",
                    choices = c(
                      "Unigrams" = "1",
                      "Bigrams" = "2",
                      "Trigrams" = "3"
                    ),
                    selected = 1
                  )
                ),
                numericInput("n_words", label = "Number of words", min = 10, max = 500, step = 1, value = 50),
                br(),
                box(
                  title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  selectInput("WCStopFile", "Load a list of terms to remove",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.WCStopFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
                    ),
                    fileInput("WCStop", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("WCSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    )
                  ),
                  selectInput("WCSynFile", "Load a list of synonyms",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.WCSynFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
                              Rows have to be separated by return separator."))
                    ),
                    fileInput("WCSyn", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("WCSynSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    )
                  )
                ),
                br(),
                box(
                  title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      selectInput("measure", "Word occurrence by",
                        choices = c(
                          "Frequency" = "freq",
                          "Square root" = "sqrt",
                          "Log" = "log",
                          "Log10" = "log10"
                        ),
                        selected = "freq"
                      )
                    ),
                    column(
                      6,
                      selectInput("wcShape", "Shape",
                        choices = c(
                          "Circle" = "circle",
                          "Cardiod" = "cardioid",
                          "Diamond" = "diamond",
                          "Pentagon" = "pentagon",
                          "Star" = "star",
                          "Triangle-forward" = "triangle-forward",
                          "Triangle" = "triangle"
                        ),
                        selected = "circle"
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput("font",
                        label = "Font type",
                        choices = c("Impact",
                          "Comic Sans MS (No plz!)" = "Comic Sans MS",
                          "Arial", "Arial Black", "Tahoma", "Verdana", "Courier New",
                          "Georgia", "Times New Roman", "Andale Mono"
                        )
                      )
                    ),
                    column(
                      6,
                      selectInput("wcCol", "Text colors",
                        choices = c(
                          "Random Dark" = "random-dark",
                          "Random Light" = "random-light"
                        ),
                        selected = "random-dark"
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput("scale", label = "Font size", min = 0.1, max = 5, step = 0.1, value = 0.5)
                    ),
                    column(
                      6,
                      numericInput("ellipticity", label = "Ellipticity", min = 0, max = 1, step = 0.05, value = 0.65)
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput("padding", label = "Padding", min = 0, max = 5, value = 1, step = 1)
                    ),
                    column(
                      6,
                      numericInput("rotate", label = "Rotate", min = 0, max = 20, value = 0, step = 1)
                    )
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              wordcloud2::wordcloud2Output("wordcloud", height = "75vh")
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("wordTable"))
            )
          )
        )
      )
    ),
    ##### tree map ----
    tabItem(
      "treemap",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("TreeMap"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyTreeMap"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportTREEMAP"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("actionBttn", c(export_bttn, list(
                inputId = "screenTREEMAP"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("treeTerms", "Field",
                  choices = c(
                    "Keywords Plus" = "ID",
                    "Author's keywords" = "DE",
                    "All Keywords" = "KW_Merged",
                    "Titles" = "TI",
                    "Abstracts" = "AB",
                    "Subject Categories (WoS)" = "WC"
                  ),
                  selected = "KW_Merged"
                ),
                conditionalPanel(
                  condition = "input.treeTerms == 'AB' |input.treeTerms == 'TI'",
                  selectInput("treeTermsngrams", "N-Grams",
                    choices = c(
                      "Unigrams" = "1",
                      "Bigrams" = "2",
                      "Trigrams" = "3"
                    ),
                    selected = 1
                  )
                ),
                numericInput("treen_words", label = "Number of words", min = 10, max = 200, step = 5, value = 50),
                br(),
                box(
                  title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  selectInput("TreeMapStopFile", "Load a list of terms to remove",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.TreeMapStopFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
                    ),
                    fileInput("TreeMapStop", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("TreeMapSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("TreeMapStopPreview"))
                  ),
                  selectInput("TreeMapSynFile", "Load a list of synonyms",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.TreeMapSynFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
                              Rows have to be separated by return separator."))
                    ),
                    fileInput("TreeMapSyn", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("TreeMapSynSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("TreeMapSynPreview"))
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "treemap", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput("treeTable"))
            )
          )
        )
      )
    ),
    ##### word dynamics ----
    tabItem(
      "wordDynamics",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Words' Frequency over Time"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyWD"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportWD"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "WDplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("growthTerms", "Field",
                  choices = c(
                    "Keywords Plus" = "ID",
                    "Author's keywords" = "DE",
                    "All Keywords" = "KW_Merged",
                    "Titles" = "TI",
                    "Abstracts" = "AB"
                  ),
                  selected = "KW_Merged"
                ),
                conditionalPanel(
                  condition = "input.growthTerms == 'AB' |input.growthTerms == 'TI'",
                  selectInput("growthTermsngrams", "N-Grams",
                    choices = c(
                      "Unigrams" = "1",
                      "Bigrams" = "2",
                      "Trigrams" = "3"
                    ),
                    selected = 1
                  )
                ),
                br(),
                box(
                  title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  selectInput("WDStopFile", "Load a list of terms to remove",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.WDStopFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
                    ),
                    fileInput("WDStop", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("WDSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("WDStopPreview"))
                  ),
                  selectInput("WDSynFile", "Load a list of synonyms",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.WDSynFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
                              Rows have to be separated by return separator."))
                    ),
                    fileInput("WDSyn", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("WDSynSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("WDSynPreview"))
                  )
                ),
                br(),
                box(
                  title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  selectInput("cumTerms", "Occurrences",
                    choices = c(
                      "Cumulate" = "Cum",
                      "Per year" = "noCum"
                    ),
                    selected = "Cum"
                  ),
                  sliderInput("topkw",
                    label = "Number of words",
                    min = 1, max = 100, step = 1, value = c(1, 10)
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "kwGrowthPlot", height = "90vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "kwGrowthtable"))
            )
          )
        )
      )
    ),
    ##### trend topic ----
    tabItem(
      "trendTopic",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Trend Topics"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyTrendTopics"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportTT"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "TTplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("trendTerms", "Field",
                  choices = c(
                    "Keywords Plus" = "ID",
                    "Author's keywords" = "DE",
                    "All Keywords" = "KW_Merged",
                    "Titles" = "TI",
                    "Abstracts" = "AB"
                  ),
                  selected = "KW_Merged"
                ),
                conditionalPanel(
                  condition = "input.trendTerms == 'TI' | input.trendTerms == 'AB'",
                  selectInput("trendTermsngrams", "N-Grams",
                    choices = c(
                      "Unigrams" = "1",
                      "Bigrams" = "2",
                      "Trigrams" = "3"
                    ),
                    selected = 1
                  )
                ),
                conditionalPanel(
                  condition = "input.trendTerms == 'TI' | input.trendTerms == 'AB'",
                  selectInput("trendStemming",
                    label = "Word Stemming",
                    choices = c(
                      "Yes" = TRUE,
                      "No" = FALSE
                    ),
                    selected = FALSE
                  )
                ),
                uiOutput("trendSliderPY"),
                br(),
                box(
                  title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  selectInput("TTStopFile", "Load a list of terms to remove",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.TTStopFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
                    ),
                    fileInput("TTStop", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("TTSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("TTStopPreview"))
                  ),
                  selectInput("TTSynFile", "Load a list of synonyms",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.TTSynFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
                              Rows have to be separated by return separator."))
                    ),
                    fileInput("TTSyn", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("TTSynSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("TTSynPreview"))
                  )
                ),
                br(),
                box(
                  title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      numericInput("trendMinFreq", label = "Word Minimum Frequency", min = 0, max = 100, value = 5, step = 1),
                    ),
                    column(
                      6,
                      numericInput("trendNItems", label = "Number of Words per Year", min = 1, max = 20, step = 1, value = 3)
                    )
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "trendTopicsPlot", height = "90vh", width = "98.9%"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "trendTopicsTable"))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("trendTopicsGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    #### Clustering by Coupling ----
    tabItem(
      "coupling",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Clustering by Coupling"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyCM"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportCM"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "CMplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("CManalysis",
                  label = "Unit of Analysis",
                  choices = c(
                    "Documents" = "documents",
                    "Authors" = "authors",
                    "Sources" = "sources"
                  ),
                  selected = "documents"
                ),
                " ",
                box(
                  title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE,
                  collapsed = FALSE,
                  selectInput("CMfield",
                    label = "Coupling measured by",
                    choices = c(
                      "References" = "CR",
                      "Keywords Plus" = "ID",
                      "Author's Keywords" = "DE",
                      "Titles" = "TI",
                      "Abstracts" = "AB"
                    ),
                    selected = "CR"
                  ),
                  conditionalPanel(
                    condition = "input.CMfield == 'TI' | input.CMfield == 'AB'",
                    selectInput("CMstemming",
                      label = "Word Stemming",
                      choices = c(
                        "Yes" = TRUE,
                        "No" = FALSE
                      ),
                      selected = FALSE
                    )
                  ),
                  selectInput("CMimpact",
                    label = "Impact measure",
                    choices = c(
                      "Local Citation Score" = "local",
                      "Global Citation Score" = "global"
                    ),
                    selected = "local"
                  ),
                  selectInput("CMlabeling",
                    label = "Cluster labeling by",
                    choices = c(
                      "None" = "none",
                      "Keyword Plus" = "ID",
                      "Authors' keywords" = "DE",
                      "Title terms" = "TI",
                      "Abstract terms" = "AB"
                    ),
                    selected = "DE"
                  ),
                  conditionalPanel(
                    condition = "input.CMlabeling == 'TI' | input.CMlabeling == 'AB'",
                    selectInput("CMngrams", "N-Grams",
                      choices = c(
                        "Unigrams" = "1",
                        "Bigrams" = "2",
                        "Trigrams" = "3"
                      ),
                      selected = 1
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput("CMn", label = "Number of Units\n ", value = 250, min = 50, max = 5000, step = 1)
                    ),
                    column(
                      6,
                      numericInput("CMfreq", label = "Min Cluster Freq. ", value = 5, min = 1, max = 100, step = 1)
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput("CMn.labels", label = "Labels per cluster", value = 3, min = 1, max = 10, step = 1)
                    ),
                    column(
                      6,
                      numericInput("sizeCM", label = "Label size", value = 0.3, min = 0.0, max = 1, step = 0.05)
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput("CMrepulsion", label = "Community Repulsion", value = 0, min = 0, max = 1, step = 0.01)
                    ),
                    column(
                      6,
                      selectInput("CMcluster",
                        label = "Clustering Algorithm",
                        choices = c(
                          "None" = "none",
                          "Edge Betweenness" = "edge_betweenness",
                          # "Fast Greedy" = "fast_greedy",
                          "InfoMap" = "infomap",
                          "Leading Eigenvalues" = "leading_eigen",
                          "Leiden" = "leiden",
                          "Louvain" = "louvain",
                          "Spinglass" = "spinglass",
                          "Walktrap" = "walktrap"
                        ),
                        selected = "walktrap"
                      )
                    )
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Map",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "CMPlot", height = "75vh"))
            ),
            tabPanel(
              "Network",
              shinycssloaders::withSpinner(visNetworkOutput("CMNetPlot", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "CMTable"))
            ),
            tabPanel(
              "Clusters",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "CMTableCluster"))
            )
          )
        )
      )
    ),
    #### Conceptual Structure ----
    ##### co-occurrence network ----
    tabItem(
      "coOccurenceNetwork",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Co-occurrence Network"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyCoc"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportCOC"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("actionBttn", c(export_bttn, list(
                inputId = "screenCOC"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("field",
                  "Field",
                  choices = c(
                    "Keywords Plus" = "ID",
                    "Author's Keywords" = "DE",
                    "All Keywords" = "KW_Merged",
                    "Titles" = "TI",
                    "Abstracts" = "AB",
                    "Subject Categories (WoS)" = "WC"
                  ),
                  selected = "KW_Merged"
                ),
                conditionalPanel(
                  condition = "input.field == 'TI' | input.field == 'AB'",
                  selectInput("cocngrams", "N-Grams",
                    choices = c(
                      "Unigrams" = "1",
                      "Bigrams" = "2",
                      "Trigrams" = "3"
                    ),
                    selected = 1
                  )
                ),
                br(),
                materialSwitch(
                  inputId = "noOverlap",
                  label = "Avoid Label Overlap",
                  value = TRUE,
                  status = "primary"
                ),
                br(),
                box(
                  title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  selectInput("COCStopFile", "Load a list of terms to remove",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.COCStopFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
                    ),
                    fileInput("COCStop", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("COCSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("COCStopPreview"))
                  ),
                  selectInput("COCSynFile", "Load a list of synonyms",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.COCSynFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
                              Rows have to be separated by return separator."))
                    ),
                    fileInput("COCSyn", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("COCSynSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("COCSynPreview"))
                  )
                ),
                br(),
                box(
                  title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      selectInput("layout",
                        label = "Network Layout",
                        choices = c(
                          "Automatic layout" = "auto",
                          "Circle" = "circle",
                          "Fruchterman & Reingold" = "fruchterman",
                          "Kamada & Kawai" = "kamada",
                          "MultiDimensional Scaling" = "mds",
                          "Sphere" = "sphere",
                          "Star" = "star"
                        ),
                        selected = "auto"
                      )
                    ),
                    column(
                      6,
                      selectInput("cocCluster",
                        label = "Clustering Algorithm",
                        choices = c(
                          "None" = "none",
                          "Edge Betweenness" = "edge_betweenness",
                          # "Fast Greedy" = "fast_greedy",
                          "InfoMap" = "infomap",
                          "Leading Eigenvalues" = "leading_eigen",
                          "Leiden" = "leiden",
                          "Louvain" = "louvain",
                          "Spinglass" = "spinglass",
                          "Walktrap" = "walktrap"
                        ),
                        selected = "walktrap"
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput("normalize",
                        label = "Normalization",
                        choices = c(
                          "none",
                          "association",
                          "jaccard",
                          "salton",
                          "inclusion",
                          "equivalence"
                        ),
                        selected = "association"
                      )
                    ),
                    column(
                      6,
                      selectInput("cocyears",
                        label = "Node Color by Year",
                        choices = c(
                          "No" = "No",
                          "Yes" = "Yes"
                        ),
                        selected = "No"
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput(
                        inputId = "Nodes",
                        label = "Number of Nodes",
                        min = 5,
                        max = 1000,
                        value = 50,
                        step = 1
                      )
                    ),
                    column(
                      6,
                      numericInput(
                        inputId = "coc.repulsion",
                        label = "Repulsion Force",
                        min = 0,
                        max = 1,
                        value = 0.1,
                        step = 0.1
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput(
                        inputId = "coc.isolates",
                        label = "Remove Isolated Nodes",
                        choices = c(
                          "Yes" = "yes",
                          "No" = "no"
                        ),
                        selected = "yes"
                      )
                    ),
                    column(
                      6,
                      numericInput("edges.min",
                        label = ("Minimum Number of Edges"),
                        value = 2,
                        step = 1,
                        min = 0
                      )
                    )
                  )
                ),
                br(),
                box(
                  title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      numericInput(
                        inputId = "cocAlpha",
                        label = "Opacity",
                        min = 0,
                        max = 1,
                        value = 0.7,
                        step = 0.05
                      )
                    ),
                    column(
                      6,
                      numericInput(
                        inputId = "Labels",
                        label = "Number of labels",
                        min = 0,
                        max = 1000,
                        value = 1000,
                        step = 1
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput(
                        inputId = "label.cex",
                        label = "Label cex",
                        choices = c(
                          "Yes",
                          "No"
                        ),
                        selected = "Yes"
                      )
                    ),
                    column(
                      6,
                      selectInput(
                        inputId = "coc.shape",
                        label = "Node Shape",
                        choices = c(
                          "Box" = "box",
                          "Circle" = "circle",
                          "Dot" = "dot",
                          "Ellipse" = "ellipse",
                          "Square" = "square",
                          "Text" = "text"
                        ),
                        selected = "dot"
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput(
                        inputId = "labelsize",
                        label = "Label size",
                        min = 0.0,
                        max = 20,
                        value = 3,
                        step = 0.10
                      )
                    ),
                    column(
                      6,
                      numericInput(
                        inputId = "edgesize",
                        label = "Edge size",
                        min = 0.0,
                        max = 20,
                        value = 5,
                        step = 0.5
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput(
                        inputId = "coc.shadow",
                        label = "Node shadow",
                        choices = c(
                          "Yes",
                          "No"
                        ),
                        selected = "Yes"
                      )
                    ),
                    column(
                      6,
                      selectInput(
                        inputId = "coc.curved",
                        label = "Edit Nodes",
                        choices = c(
                          "Yes",
                          "No"
                        ),
                        selected = "No"
                      )
                    )
                  )
                ),
                br(),
                fluidRow(
                  column(
                    6,
                    div(
                      style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
                      align = "center",
                      width = "100%",
                      downloadBttn(
                        outputId = "network.coc", label = ("Pajek"),
                        style = "pill", color = "primary"
                      )
                    )
                  ),
                  column(
                    6,
                    div(
                      style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
                      align = "center",
                      width = "100%",
                      downloadBttn(
                        outputId = "networkCoc.fig", label = ("HTML"),
                        style = "pill", color = "primary"
                      )
                    )
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Network",
              shinycssloaders::withSpinner(visNetworkOutput("cocPlot", height = "75vh"))
            ),
            tabPanel(
              "Density",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "cocOverlay", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(
                outputId = "cocTable"
              ))
            ),
            tabPanel(
              "Degree Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "cocDegree", height = "75vh"))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("cocGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    ##### thematic map ----
    tabItem(
      "thematicMap",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Thematic Map"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyTM"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportTM"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "TMplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("TMfield",
                  label = "Field",
                  choices = c(
                    "Keywords Plus" = "ID",
                    "Author's Keywords" = "DE",
                    "All Keywords" = "KW_Merged",
                    "Titles" = "TI",
                    "Abstracts" = "AB"
                  ),
                  selected = "KW_Merged"
                ),
                conditionalPanel(
                  condition = "input.TMfield == 'TI' | input.TMfield == 'AB'",
                  selectInput("TMngrams", "N-Grams",
                    choices = c(
                      "Unigrams" = "1",
                      "Bigrams" = "2",
                      "Trigrams" = "3"
                    ),
                    selected = 1
                  )
                ),
                conditionalPanel(
                  condition = "input.TMfield == 'TI' | input.TMfield == 'AB'",
                  selectInput("TMstemming",
                    label = "Word Stemming",
                    choices = c(
                      "Yes" = TRUE,
                      "No" = FALSE
                    ),
                    selected = FALSE
                  )
                ),
                br(),
                materialSwitch(
                  inputId = "noOverlapTM",
                  label = "Avoid Label Overlap",
                  value = TRUE,
                  status = "primary"
                ),
                br(),
                box(
                  title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  selectInput("TMStopFile", "Load a list of terms to remove",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.TMStopFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
                    ),
                    fileInput("TMStop", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("TMSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("TMStopPreview"))
                  ),
                  selectInput("TMapSynFile", "Load a list of synonyms",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.TMapSynFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
                              Rows have to be separated by return separator."))
                    ),
                    fileInput("TMapSyn", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("TMapSynSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("TMapSynPreview"))
                  )
                ),
                br(),
                box(
                  title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      numericInput("TMn", label = "Number of Words", value = 250, min = 50, max = 5000, step = 1)
                    ),
                    column(
                      6,
                      numericInput("TMfreq", label = "Min Cluster Frequency (per thousand docs)", value = 5, min = 1, max = 100, step = 1)
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput("TMn.labels", label = "Number of Labels", value = 3, min = 0, max = 10, step = 1)
                    ),
                    column(
                      6,
                      numericInput("sizeTM", label = "Label size", value = 0.3, min = 0.0, max = 1, step = 0.05)
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput("TMrepulsion", label = "Community Repulsion", value = 0, min = 0, max = 1, step = 0.01)
                    ),
                    column(
                      6,
                      selectInput("TMCluster",
                        label = "Clustering Algorithm",
                        choices = c(
                          "None" = "none",
                          "Edge Betweenness" = "edge_betweenness",
                          # "Fast Greedy" = "fast_greedy",
                          "InfoMap" = "infomap",
                          "Leading Eigenvalues" = "leading_eigen",
                          "Leiden" = "leiden",
                          "Louvain" = "louvain",
                          "Spinglass" = "spinglass",
                          "Walktrap" = "walktrap"
                        ),
                        selected = "walktrap"
                      )
                    )
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Map",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot", height = "75vh"))
            ),
            tabPanel(
              "Network",
              shinycssloaders::withSpinner(visNetworkOutput("NetPlot", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable"))
            ),
            tabPanel(
              "Clusters",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster"))
            ),
            tabPanel(
              "Documents",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument"))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("TMGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    ##### thematic evolution ----
    tabItem(
      "thematicEvolution",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Thematic Evolution"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyTE"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportTE"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "TEplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("TEfield",
                  label = "Field",
                  choices = c(
                    "Keywords Plus" = "ID",
                    "Author's Keywords" = "DE",
                    "All Keywords" = "KW_Merged",
                    "Titles" = "TI",
                    "Abstracts" = "AB"
                  ),
                  selected = "KW_Merged"
                ),
                conditionalPanel(
                  condition = "input.TEfield == 'TI' | input.TEfield == 'AB'",
                  selectInput("TEngrams", "N-Grams",
                    choices = c(
                      "Unigrams" = "1",
                      "Bigrams" = "2",
                      "Trigrams" = "3"
                    ),
                    selected = 1
                  )
                ),
                br(),
                materialSwitch(
                  inputId = "noOverlapTE",
                  label = "Avoid Label Overlap",
                  value = TRUE,
                  status = "primary"
                ),
                br(),
                box(
                  title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  selectInput("TEStopFile", "Load a list of terms to remove",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.TEStopFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
                    ),
                    fileInput("TEStop", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("TESep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("TEStopPreview"))
                  ),
                  selectInput("TESynFile", "Load a list of synonyms",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.TESynFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
                              Rows have to be separated by return separator."))
                    ),
                    fileInput("TESyn", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("TESynSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("TESynPreview"))
                  )
                ),
                br(),
                box(
                  title = p(strong("Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      numericInput("nTE", label = "Number of Words", value = 250, min = 50, max = 5000, step = 1)
                    ),
                    column(
                      6,
                      numericInput("fTE", label = "Min Cluster Frequency (per thousand docs)", value = 5, min = 1, max = 100, step = 1)
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput("TEmeasure",
                        label = "Weight index",
                        choices = c(
                          "Inclusion Index" = "inclusion",
                          "Inclusion Index weighted by Word-Occurrences" = "weighted",
                          "Stability Index" = "stability"
                        ),
                        selected = "weighted"
                      )
                    ),
                    column(
                      6,
                      numericInput("minFlowTE", label = "Min Weight Index", value = 0.1, min = 0.02, max = 1, step = 0.02)
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput("sizeTE", label = "Label size", value = 0.3, min = 0.0, max = 1, step = 0.05)
                    ),
                    column(
                      6,
                      numericInput("TEn.labels", label = "Number of Labels (for each cluster)", value = 3, min = 1, max = 5, step = 1)
                    )
                  ),
                  fluidRow(column(
                    12,
                    selectInput("TECluster",
                      label = "Clustering Algorithm",
                      choices = c(
                        "None" = "none",
                        "Edge Betweenness" = "edge_betweenness",
                        # "Fast Greedy" = "fast_greedy",
                        "InfoMap" = "infomap",
                        "Leading Eigenvalues" = "leading_eigen",
                        "Leiden" = "leiden",
                        "Louvain" = "louvain",
                        "Spinglass" = "spinglass",
                        "Walktrap" = "walktrap"
                      ),
                      selected = "walktrap"
                    )
                  ))
                ),
                br(),
                box(
                  title = p(strong("Time Slices"), style = "font-size:16px;color:black;"),
                  collapsible = FALSE, width = 15,
                  solidHeader = FALSE, collapsed = FALSE,
                  numericInput("numSlices", label = "Number of Cutting Points", min = 1, max = 4, value = 1),
                  "Please, write the cutting points (in year) for your collection",
                  uiOutput("sliders")
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Thematic Evolution",
              tabsetPanel(
                type = "tabs",
                tabPanel(
                  "Map",
                  shinycssloaders::withSpinner(visNetworkOutput(outputId = "TEPlot", height = "75vh", width = "100%"))
                ),
                tabPanel(
                  "Table",
                  shinycssloaders::withSpinner(DT::DTOutput(outputId = "TETable"))
                )
              )
            ),
            tabPanel("Time Slice 1", tabsetPanel(
              type = "tabs",
              tabPanel(
                "Map",
                shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot1", height = "75vh"))
              ),
              tabPanel(
                "Network",
                shinycssloaders::withSpinner(visNetworkOutput("NetPlot1", height = "75vh"))
              ),
              tabPanel(
                "Table",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable1"))
              ),
              tabPanel(
                "Clusters",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster1"))
              ),
              tabPanel(
                "Documents",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument1"))
              )
            )),
            tabPanel("Time Slice 2", tabsetPanel(
              type = "tabs",
              tabPanel(
                "Map",
                shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot2", height = "75vh"))
              ),
              tabPanel(
                "Network",
                shinycssloaders::withSpinner(visNetworkOutput("NetPlot2", height = "75vh"))
              ),
              tabPanel(
                "Table",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable2"))
              ),
              tabPanel(
                "Clusters",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster2"))
              ),
              tabPanel(
                "Documents",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument2"))
              )
            )),
            tabPanel("Time Slice 3", tabsetPanel(
              type = "tabs",
              tabPanel(
                "Map",
                shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot3", height = "75vh"))
              ),
              tabPanel(
                "Network",
                shinycssloaders::withSpinner(visNetworkOutput("NetPlot3", height = "75vh"))
              ),
              tabPanel(
                "Table",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable3"))
              ),
              tabPanel(
                "Clusters",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster3"))
              ),
              tabPanel(
                "Documents",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument3"))
              )
            )),
            tabPanel("Time Slice 4", tabsetPanel(
              type = "tabs",
              tabPanel(
                "Map",
                shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot4", height = "75vh"))
              ),
              tabPanel(
                "Network",
                shinycssloaders::withSpinner(visNetworkOutput("NetPlot4", height = "75vh"))
              ),
              tabPanel(
                "Table",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable4"))
              ),
              tabPanel(
                "Clusters",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster4"))
              ),
              tabPanel(
                "Documents",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument4"))
              )
            )),
            tabPanel("Time Slice 5", tabsetPanel(
              type = "tabs",
              tabPanel(
                "Map",
                shinycssloaders::withSpinner(plotlyOutput(outputId = "TMPlot5", height = "75vh"))
              ),
              tabPanel(
                "Network",
                shinycssloaders::withSpinner(visNetworkOutput("NetPlot5", height = "75vh"))
              ),
              tabPanel(
                "Table",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTable5"))
              ),
              tabPanel(
                "Clusters",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableCluster5"))
              ),
              tabPanel(
                "Documents",
                shinycssloaders::withSpinner(DT::DTOutput(outputId = "TMTableDocument5"))
              )
            )),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("TEGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    ##### factorial analysis ----
    tabItem(
      "factorialAnalysis",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Factorial Analysis"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyCA"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportFA"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "FAplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("method",
                  label = "Method",
                  choices = c(
                    "Correspondence Analysis" = "CA",
                    "Multiple Correspondence Analysis" = "MCA",
                    "Multidimensional Scaling" = "MDS"
                  ),
                  selected = "MCA"
                ),
                selectInput("CSfield",
                  label = "Field",
                  choices = c(
                    "Keywords Plus" = "ID",
                    "Author's Keywords" = "DE",
                    "All Keywords" = "KW_Merged",
                    "Titles" = "TI",
                    "Abstracts" = "AB"
                  ),
                  selected = "KW_Merged"
                ),
                conditionalPanel(
                  condition = "input.CSfield == 'TI' | input.CSfield == 'AB'",
                  selectInput("CSngrams", "N-Grams",
                    choices = c(
                      "Unigrams" = "1",
                      "Bigrams" = "2",
                      "Trigrams" = "3"
                    ),
                    selected = 1
                  )
                ),
                br(),
                box(
                  title = p(strong("Text Editing"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  selectInput("CSStopFile", "Load a list of terms to remove",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.CSStopFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator)."))
                    ),
                    fileInput("CSStop", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("CSSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("CSStopPreview"))
                  ),
                  selectInput("FASynFile", "Load a list of synonyms",
                    choices = c(
                      "Yes" = "Y",
                      "No" = "N"
                    ),
                    selected = "N"
                  ),
                  conditionalPanel(
                    condition = "input.FASynFile == 'Y'",
                    helpText(
                      h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")),
                      h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).
                              Rows have to be separated by return separator."))
                    ),
                    fileInput("FASyn", "",
                      multiple = FALSE,
                      accept = c(
                        "text/csv",
                        "text/comma-separated-values,text/plain",
                        ".csv",
                        ".txt"
                      )
                    ),
                    selectInput("FASynSep", "File Separator",
                      choices = c(
                        'Comma ","' = ",",
                        'Semicolon ";"' = ";",
                        "Tab " = "\t"
                      ),
                      selected = ","
                    ),
                    # h5(htmlOutput("FASynPreview"))
                  )
                ),
                br(),
                box(
                  title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      numericInput("CSn",
                        label = ("Number of terms"),
                        value = 50, step = 1
                      )
                    ),
                    column(
                      6,
                      selectInput("nClustersCS",
                        label = "N. of Clusters",
                        choices = c(
                          "1" = "1",
                          "2" = "2",
                          "3" = "3",
                          "4" = "4",
                          "5" = "5",
                          "6" = "6",
                          "7" = "7",
                          "8" = "8"
                        ),
                        selected = "1"
                      )
                    )
                  )
                ),
                br(),
                box(
                  title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      numericInput(
                        inputId = "CSlabelsize",
                        label = "Label size",
                        min = 5,
                        max = 30,
                        value = 10
                      )
                    ),
                    column(
                      6,
                      numericInput("CSdoc",
                        label = ("Num. of documents"),
                        value = 5
                      )
                    )
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Word Map",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "CSPlot1", height = "75vh", width = "98.9%"))
            ),
            tabPanel(
              "Topic Dendrogram",
              shinycssloaders::withSpinner(visNetworkOutput("CSPlot4", width = "auto", height = "75vh"))
            ),
            # tabPanel("Most Contributing Papers",
            #          shinycssloaders::withSpinner(plotOutput(
            #            outputId = "CSPlot2"))),
            # tabPanel("Most Cited Papers",
            #          shinycssloaders::withSpinner(plotOutput(
            #            outputId = "CSPlot3"))),
            tabPanel(
              "Words by Cluster",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "CSTableW"))
            ),
            tabPanel(
              "Articles by Cluster",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "CSTableD"))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("CSGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    #### Intellectual Structure ----
    ##### co-citation network ----
    tabItem(
      "coCitationNetwork",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Co-citation Network"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyCocit"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportCOCIT"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("actionBttn", c(export_bttn, list(
                inputId = "screenCOCIT"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("citField",
                  label = "Field",
                  choices = c(
                    "Papers" = "CR",
                    "Authors" = "CR_AU",
                    "Sources" = "CR_SO"
                  ),
                  selected = "CR"
                ),
                selectInput(
                  inputId = "citSep",
                  label = "Field separator character",
                  choices = c(
                    '";" (Semicolon)' = ";",
                    '".   " (Dot and 3 or more spaces)' = ".   ",
                    '"," (Comma)' = ","
                  ),
                  selected = "';'"
                ),
                br(),
                materialSwitch(
                  inputId = "citNoOverlap",
                  label = "Avoid Label Overlap",
                  value = TRUE,
                  status = "primary"
                ),
                br(),
                box(
                  title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      selectInput("citlayout",
                        label = "Network Layout",
                        choices = c(
                          "Automatic layout" = "auto",
                          "Circle" = "circle",
                          "Fruchterman & Reingold" = "fruchterman",
                          "Kamada & Kawai" = "kamada",
                          "MultiDimensional Scaling" = "mds",
                          "Sphere" = "sphere",
                          "Star" = "star"
                        ),
                        selected = "auto"
                      )
                    ),
                    column(
                      6,
                      selectInput("cocitCluster",
                        label = "Clustering Algorithm",
                        choices = c(
                          "None" = "none",
                          "Edge Betweenness" = "edge_betweenness",
                          # "Fast Greedy" = "fast_greedy",
                          "InfoMap" = "infomap",
                          "Leading Eigenvalues" = "leading_eigen",
                          "Leiden" = "leiden",
                          "Louvain" = "louvain",
                          "Spinglass" = "spinglass",
                          "Walktrap" = "walktrap"
                        ),
                        selected = "walktrap"
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput(
                        inputId = "citNodes",
                        label = "Number of Nodes",
                        min = 5,
                        max = 1000,
                        value = 50,
                        step = 1
                      )
                    ),
                    column(
                      6,
                      numericInput(
                        inputId = "cocit.repulsion",
                        label = "Repulsion Force",
                        min = 0,
                        max = 1,
                        value = 0.1,
                        step = 0.1
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput(
                        inputId = "cit.isolates",
                        label = "Remove Isolated Nodes",
                        choices = c(
                          "Yes" = "yes",
                          "No" = "no"
                        ),
                        selected = "yes"
                      )
                    ),
                    column(
                      6,
                      numericInput("citedges.min",
                        label = ("Minimum Number of Edges"),
                        value = 2,
                        step = 1,
                        min = 0
                      )
                    )
                  )
                ),
                br(),
                box(
                  title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      selectInput(
                        inputId = "citShortlabel",
                        label = "Short Label",
                        choices = c(
                          "Yes",
                          "No"
                        ),
                        selected = "Yes"
                      ),
                    ),
                    column(
                      6,
                      numericInput(
                        inputId = "citLabels",
                        label = "Number of labels",
                        min = 0,
                        max = 1000,
                        value = 1000,
                        step = 1
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput(
                        inputId = "citlabel.cex",
                        label = "Label cex",
                        choices = c(
                          "Yes",
                          "No"
                        ),
                        selected = "Yes"
                      )
                    ),
                    column(
                      6,
                      selectInput(
                        inputId = "cocit.shape",
                        label = "Node Shape",
                        choices = c(
                          "Box" = "box",
                          "Circle" = "circle",
                          "Dot" = "dot",
                          "Ellipse" = "ellipse",
                          "Square" = "square",
                          "Text" = "text"
                        ),
                        selected = "dot"
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput(
                        inputId = "citlabelsize",
                        label = "Label size",
                        min = 0.0,
                        max = 20,
                        value = 2,
                        step = 0.10
                      )
                    ),
                    column(
                      6,
                      numericInput(
                        inputId = "citedgesize",
                        label = "Edge size",
                        min = 0.5,
                        max = 20,
                        value = 2,
                        step = 0.5
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput(
                        inputId = "cocit.shadow",
                        label = "Node shadow",
                        choices = c(
                          "Yes",
                          "No"
                        ),
                        selected = "Yes"
                      )
                    ),
                    column(
                      6,
                      selectInput(
                        inputId = "cocit.curved",
                        label = "Edit Nodes",
                        choices = c(
                          "Yes",
                          "No"
                        ),
                        selected = "No"
                      )
                    )
                  )
                ),
                br(),
                fluidRow(
                  column(
                    6,
                    div(
                      style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
                      align = "center",
                      width = "100%",
                      downloadBttn(
                        outputId = "network.cocit", label = ("Pajek"),
                        style = "pill", color = "primary"
                      )
                    )
                  ),
                  column(
                    6,
                    div(
                      style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
                      align = "center",
                      width = "100%",
                      downloadBttn(
                        outputId = "networkCocit.fig", label = ("HTML"),
                        style = "pill", color = "primary"
                      )
                    )
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Network",
              shinycssloaders::withSpinner(visNetworkOutput("cocitPlot", height = "75vh"))
            ),
            tabPanel(
              "Density",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "cocitOverlay", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(
                outputId = "cocitTable"
              ))
            ),
            tabPanel(
              "Degree Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "cocitDegree", height = 700))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("cocitGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    ##### historiograph ----
    tabItem(
      "historiograph",
      fluidPage(
        fluidRow(
          column(
            8,
            h3(strong("Historiograph"), align = "center")
          ),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyHist"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportHIST"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("actionBttn", c(export_bttn, list(
                inputId = "screenHIST"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                numericInput(
                  inputId = "histNodes",
                  label = "Number of Nodes",
                  min = 5,
                  max = 100,
                  value = 20,
                  step = 1
                ),
                "  ",
                br(),
                box(
                  title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE,
                  collapsed = FALSE,
                  selectInput(
                    inputId = "titlelabel",
                    label = "Node label",
                    choices = c(
                      "Short id (1st Author, Year)" = "short",
                      "Document Title" = "title",
                      "Authors' Keywords" = "keywords",
                      "Keywords Plus" = "keywordsplus"
                    ),
                    selected = "short"
                  ),
                  selectInput(
                    inputId = "hist.isolates",
                    label = "Remove Isolated Nodes",
                    choices = c(
                      "Yes" = "yes",
                      "No" = "no"
                    ),
                    selected = "yes"
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput(
                        inputId = "histlabelsize",
                        label = "Label size",
                        min = 0.0,
                        max = 20,
                        value = 3, step = 1
                      )
                    ),
                    column(
                      6,
                      numericInput(
                        inputId = "histsize",
                        label = "Node size",
                        min = 0,
                        max = 20,
                        value = 2, step = 1
                      )
                    )
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Network",
              shinycssloaders::withSpinner(visNetworkOutput("histPlotVis", height = "80vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "histTable"))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("histGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    #### Social Structure ----
    ##### collaboration network ----
    tabItem(
      "collabNetwork",
      fluidPage(
        fluidRow(
          column(8, h3(strong("Collaboration Network"), align = "center")),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyCol"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportCOL"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("actionBttn", c(export_bttn, list(
                inputId = "screenCOL"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                selectInput("colField",
                  label = "Field",
                  choices = c(
                    "Authors" = "COL_AU",
                    "Institutions" = "COL_UN",
                    "Countries" = "COL_CO"
                  ),
                  selected = "COL_AU"
                ),
                br(),
                materialSwitch(
                  inputId = "colNoOverlap",
                  label = "Avoid Label Overlap",
                  value = TRUE,
                  status = "primary"
                ),
                br(),
                box(
                  title = p(strong("Method Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      selectInput("collayout",
                        label = "Network Layout",
                        choices = c(
                          "Automatic layout" = "auto",
                          "Circle" = "circle",
                          "Fruchterman & Reingold" = "fruchterman",
                          "Kamada & Kawai" = "kamada",
                          "MultiDimensional Scaling" = "mds",
                          "Sphere" = "sphere",
                          "Star" = "star"
                        ),
                        selected = "auto"
                      )
                    ),
                    column(
                      6,
                      selectInput("colCluster",
                        label = "Clustering Algorithm",
                        choices = c(
                          "None" = "none",
                          "Edge Betweenness" = "edge_betweenness",
                          # "Fast Greedy" = "fast_greedy",
                          "InfoMap" = "infomap",
                          "Leading Eigenvalues" = "leading_eigen",
                          "Leiden" = "leiden",
                          "Louvain" = "louvain",
                          "Spinglass" = "spinglass",
                          "Walktrap" = "walktrap"
                        ),
                        selected = "walktrap"
                      )
                    )
                  ),
                  fluidRow(column(
                    6,
                    selectInput("colnormalize",
                      label = "Normalization",
                      choices = c(
                        "none",
                        "association",
                        "jaccard",
                        "salton",
                        "inclusion",
                        "equivalence"
                      ),
                      selected = "association"
                    )
                  )),
                  fluidRow(
                    column(
                      6,
                      numericInput(
                        inputId = "colNodes",
                        label = "Number of Nodes",
                        min = 5,
                        max = 1000,
                        value = 50,
                        step = 1
                      )
                    ),
                    column(
                      6,
                      numericInput(
                        inputId = "col.repulsion",
                        label = "Repulsion Force",
                        min = 0,
                        max = 1,
                        value = 0.1,
                        step = 0.1
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput(
                        inputId = "col.isolates",
                        label = "Remove Isolated Nodes",
                        choices = c(
                          "Yes" = "yes",
                          "No" = "no"
                        ),
                        selected = "yes"
                      )
                    ),
                    column(
                      6,
                      numericInput("coledges.min",
                        label = ("Minimum Number of Edges"),
                        value = 1,
                        step = 1,
                        min = 0
                      )
                    )
                  )
                ),
                br(),
                box(
                  title = p(strong("Graphical Parameters"), style = "font-size:16px;color:black;"),
                  collapsible = TRUE, width = 15,
                  solidHeader = FALSE, collapsed = TRUE,
                  fluidRow(
                    column(
                      6,
                      numericInput(
                        inputId = "colAlpha",
                        label = "Opacity",
                        min = 0,
                        max = 1,
                        value = 0.7,
                        step = 0.05
                      )
                    ),
                    column(
                      6,
                      numericInput(
                        inputId = "colLabels",
                        label = "Number of labels",
                        min = 0,
                        max = 1000,
                        value = 1000,
                        step = 1
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput(
                        inputId = "collabel.cex",
                        label = "Label cex",
                        choices = c(
                          "Yes",
                          "No"
                        ),
                        selected = "Yes"
                      )
                    ),
                    column(
                      6,
                      selectInput(
                        inputId = "col.shape",
                        label = "Node Shape",
                        choices = c(
                          "Box" = "box",
                          "Circle" = "circle",
                          "Dot" = "dot",
                          "Ellipse" = "ellipse",
                          "Square" = "square",
                          "Text" = "text"
                        ),
                        selected = "dot"
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      numericInput(
                        inputId = "collabelsize",
                        label = "Label size",
                        min = 0.0,
                        max = 20,
                        value = 2,
                        step = 0.10
                      )
                    ),
                    column(
                      6,
                      numericInput(
                        inputId = "coledgesize",
                        label = "Edge size",
                        min = 0.5,
                        max = 20,
                        value = 5,
                        step = 0.5
                      )
                    )
                  ),
                  fluidRow(
                    column(
                      6,
                      selectInput(
                        inputId = "col.shadow",
                        label = "Node shadow",
                        choices = c(
                          "Yes",
                          "No"
                        ),
                        selected = "Yes"
                      )
                    ),
                    column(
                      6,
                      selectInput(
                        inputId = "soc.curved",
                        label = "Edit Nodes",
                        choices = c(
                          "Yes",
                          "No"
                        ),
                        selected = "No"
                      )
                    )
                  )
                ),
                br(),
                fluidRow(
                  column(
                    6,
                    div(
                      style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
                      align = "center",
                      width = "100%",
                      downloadBttn(
                        outputId = "network.col", label = ("Pajek"),
                        style = "pill", color = "primary"
                      )
                    )
                  ),
                  column(
                    6,
                    div(
                      style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
                      align = "center",
                      width = "100%",
                      downloadBttn(
                        outputId = "networkCol.fig", label = ("HTML"),
                        style = "pill", color = "primary"
                      )
                    )
                  )
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Network",
              shinycssloaders::withSpinner(visNetworkOutput("colPlot", height = "75vh"))
            ),
            tabPanel(
              "Density",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "colOverlay", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "colTable"))
            ),
            tabPanel(
              "Degree Plot",
              shinycssloaders::withSpinner(plotlyOutput(outputId = "colDegree", height = "75vh"))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("colGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    ##### collaboration world map ----
    tabItem(
      "collabWorldMap",
      fluidPage(
        fluidRow(
          column(8, h3(strong("Countries' Collaboration World Map"), align = "center")),
          div(
            style = style_bttn,
            title = t_run,
            column(
              1,
              do.call("actionBttn", c(run_bttn, list(
                inputId = "applyWM"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_report,
            column(
              1,
              do.call("actionBttn", c(report_bttn, list(
                inputId = "reportCOLW"
              )))
            )
          ),
          div(
            style = style_bttn,
            title = t_export,
            column(
              1,
              do.call("downloadBttn", c(export_bttn, list(
                outputId = "CCplot.save"
              )))
            )
          ),
          div(
            column(
              1,
              dropdown(
                h4(strong("Options: ")),
                br(),
                h4(strong("Method Parameters: ")),
                "  ",
                numericInput("WMedges.min",
                  label = ("Min edges"),
                  value = 2,
                  step = 1
                ),
                "  ",
                br(),
                h4(strong("Graphical Parameters: ")),
                "  ",
                numericInput(
                  inputId = "WMedgesize",
                  label = "Edge size",
                  min = 0.1,
                  max = 20,
                  value = 5
                ),
                right = TRUE, animate = TRUE, circle = TRUE,
                style = "gradient",
                tooltip = tooltipOptions(title = "Options"),
                color = "primary",
                icon = icon("sliders"),
                width = "300px"
              )
            ),
            style = style_opt
          )
        ),
        fluidRow(
          tabsetPanel(
            type = "tabs",
            tabPanel(
              "Plot",
              # shinycssloaders::withSpinner(plotOutput(outputId = "WMPlot"))
              shinycssloaders::withSpinner(plotlyOutput(outputId = "WMPlot", height = "75vh"))
            ),
            tabPanel(
              "Table",
              shinycssloaders::withSpinner(DT::DTOutput(
                outputId = "WMTable"
              ))
            ),
            tabPanel(
              title = tagList(icon("microchip"), tags$span(strong("Biblio AI"), style = "margin-left: 5px;")),
              fluidPage(
                fluidRow(
                  column(
                    12,
                    br(),
                    shinycssloaders::withSpinner(htmlOutput("WMGeminiUI"), caption = HTML("<br><strong>Thinking...</strong>"),
                                                 image = "ai_small2.gif", color = "#466fc4")
                  )
                )
              )
            )
          )
        )
      )
    ),
    #### Report ----
    tabItem(
      "report",
      fluidPage(
        fluidRow(
          h3(strong("Report"), align = "center"),
          br(),
        ),
        fluidRow(
          column(6,
            offset = 1,
            box(
              title = strong("Select results to include in the Report",
                style = "font-size:20px;color:white;"
              ),
              status = "primary", width = 11, solidHeader = TRUE,
              tags$style(HTML("
                         .box.box-solid.box-primary>.box-header {
                         background:#4379cd;
                         }
                         .box.box-solid.box-primary{
                         border-bottom-color:black;
                         border-left-color:black;
                         border-right-color:black;
                         border-top-color:black;
                         border-width:2px;
                                         }")),
              uiOutput("reportSheets"),
              tags$style("#reportSheets {font-size:18px;}")
            )
          ), # column(1),
          column(
            2,
            div(
              style = "border-radius: 10px; border-width: 3px; font-size: 10px;",
              align = "center",
              # width="100%",
              actionBttn(
                inputId = "allSheets",
                label = strong("Select All"),
                icon = icon("ok-circle", lib = "glyphicon"),
                style = "pill", color = "primary",
                block = TRUE
              ),
              # tags$style("#allSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"),
              br(),
              actionBttn(
                inputId = "noSheets",
                label = strong("Deselect All"),
                icon = icon("remove-circle", lib = "glyphicon"),
                style = "pill", color = "primary",
                block = TRUE
              ),
              # tags$style("#noSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"),

              # tags$style("#deleteAll {border-width: 3px;}"),
              br(),
              hr(),
              downloadBttn(
                outputId = "report.save",
                label = strong("Export Report"),
                style = "pill", color = "success",
                size = "md",
                block = TRUE,
                no_outline = TRUE,
                icon = icon(name = "download-alt", lib = "glyphicon")
              ), # , tags$style("#report.save {border-width: 3px;}")
              br(),
              hr(),
              actionBttn(
                inputId = "deleteAll",
                label = strong("Delete Report"),
                icon = icon("exclamation-sign", lib = "glyphicon"),
                style = "pill", color = "danger",
                block = TRUE
              )
            )
          )
        )
      )
    ),
    #### TALL Export ----
    tabItem(
      "tall",
      fluidPage(
        fluidRow(
          h3(strong("TALL - Text Analysis for All"), align = "center"),
          br()
        ),
        fluidRow(
          column(
            8,
            fluidRow(
              column(
                4,
                div(img(src = "tall_logo.jpg", height = "90%", width = "90%"), style = "text-align: center;")
              ),
              column(
                8,
                HTML(
                  "<div style='text-align: center;'>
    <p style='font-size: 16px;max-width: 1400px; margin: auto; text-align: justify;'>
    <strong>Biblioshiny</strong> now includes a dedicated export tool that allows you to prepare and extract textual data (Titles, Abstracts, and Keywords) from your bibliographic collection in a format ready to be used in TALL.
    <br><br>
      <strong>TALL</strong> is a user-friendly R Shiny application designed to support researchers in performing textual data analysis without requiring advanced programming skills.
    <br><br>
      <strong>TALL</strong> offers a comprehensive workflow for data cleaning, pre-processing, statistical analysis, and visualization of textual data, by combining state-of-the-art text analysis techniques into an R Shiny app.
    <br><br>
      <strong>TALL</strong> includes a wide set of methodologies specifically tailored for various text analysis tasks. It aims to address the needs of researchers without extensive programming skills, providing a versatile and general-purpose tool for analyzing textual data. With TALL, researchers can leverage a wide range of text analysis techniques without the burden of extensive programming knowledge, enabling them to extract valuable insights from textual data in a more efficient and accessible manner.
    <br><br>
      Learn more at: <a href='https://www.tall-app.com' target='_blank'>www.tall-app.com</a>
        </p>
        </div>"
                )
              )
            ),
            fluidRow(
              shinycssloaders::withSpinner(DT::DTOutput(outputId = "tallTable"))
            )
          ),
          column(
            4,
            fluidRow(
              box(
                width = 12,
                div(h3(strong(em("Export a corpus for TALL"))), style = "margin-top:-57px"),
                hr(),
                helpText(h4("Select textual metadata:")),
                multiInput(
                  inputId = "tallFields",
                  label = NULL,
                  choiceNames = "",
                  choiceValues = "",
                  width = "100%"
                ),
                hr(),
                helpText(h4("Select additional metadata:")),
                multiInput(
                  inputId = "tallMetadata",
                  label = NULL,
                  choiceNames = "",
                  choiceValues = "",
                  width = "100%"
                ),
                hr(),
                div(
                  fluidRow(
                    column(
                      6,
                      div(
                        style = style_bttn, align = "center",
                        title = t_run,
                        # column(1,
                        do.call("actionBttn", c(run_bttn, list(
                          inputId = "tallRun"
                        )))
                      )
                    ),
                    column(
                      6,
                      div(
                        style = style_bttn, align = "center",
                        title = t_export,
                        do.call("downloadBttn", c(export_bttn, list(
                          outputId = "tall.save"
                        )))
                      )
                    )
                  ),
                  style = "margin-top:-15px"
                ),
                hr(),
                helpText("Select at least one textual field to export, click 'Play' to generate the dataset, then save and import it into TALL.", style = "font-size: 16px"),
                uiOutput("tallBttn1"),
                uiOutput("tallBttn2")
                # fluidRow(
                #   # column(6,
                #   #        uiOutput("tallBttn1")),
                #   # column(6,
                #   #        uiOutput("tallBttn2"))
                # )
              )
            )
          )
        )
      )
    ),

    #### Settings ----
    tabItem(
      "settings",
      fluidPage(
        fluidRow(
          h3(strong("Settings"), align = "center"),
          br()
        ),
        fluidRow(column(
          6,
          h3("Plot settings:"),
          br(),
          sliderTextInput(
            inputId = "dpi",
            label = "Please select the desired DPI",
            grid = TRUE,
            force_edges = TRUE,
            choices = c("75", "150", "300", "600"),
            width = "70%",
            selected = "300"
          ),
          br(),
          sliderTextInput(
            inputId = "h",
            label = "Please select the desired heigth in inches",
            grid = TRUE,
            force_edges = TRUE,
            width = "70%",
            choices = seq(5, 15),
            selected = "7"
          )
        ), column(
          6
          ### To insert settings for default path, etc.
        )),
        hr(),
        h3("'Biblio AI' Api Key"),
        h4("Set a valid API Key to use 'Biblio AI' features powered by Google Gemini."),
        h5(HTML(
          'If you don’t have one yet, you can generate it by logging into <a href="https://aistudio.google.com/app/apikey" target="_blank">AI Studio</a> with your Google account and creating a new API Key.'
        )),
        br(),
        fluidRow(
          column(4,
                 passwordInput("api_key", "Enter your Gemini API Key:", "", width = "100%")
                 )
        ),
        # br(),
        uiOutput("apiStatus"),
        br(),
        fluidRow(
          column(2,
                 actionButton("set_key", "Set API Key",style = "color:white;", width = "70%")
                 ),
          column(2,
                 actionButton("remove_key", "Remove API Key",style = "color:white;",width = "70%")
                 )
        ),
        
        
        
      )
    )
  )
)

## Control Bar ####
# controlbar <- shinydashboardPlus::dashboardControlbar(id = "controlbar2",
#                                                       uiOutput("controlbar"),
#                                                       skin = "light",
#                                                       width = 350,
#                                                       overlay = FALSE,
#                                                       collapsed = TRUE,
#                                                       shinyjs::useShinyjs()
# )
## UI ####
ui <- shinydashboardPlus::dashboardPage(
  # shinyjs::useShinyjs(),
  header = header,
  sidebar = sidebar,
  body = body,
  # controlbar = controlbar,
  footer = NULL,
  options = list(sidebarExpandOnHover = TRUE),
  scrollToTop = TRUE
)
# END ----
