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# This file is part of the R package "aifeducation".
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 3 as published by
# the Free Software Foundation.
#
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>
#' @title Graphical user interface for fill-mask tasks.
#' @description Functions generates the tab within a page for using an object of class [TextEmbeddingModel] for
#' fill-mask tasks.
#'
#' @param id `string` determining the id for the namespace.
#' @return This function does nothing return. It is used to build a page for a shiny app.
#'
#' @family studio_gui_text_embedding_model_fill_mask
#' @keywords internal
#' @noRd
#'
Fill_Mask_UI <- function(id) {
bslib::page(
bslib::layout_column_wrap(
bslib::card(
bslib::card_header(
"Text Sequence"
),
bslib::card_body(
shiny::uiOutput(outputId = shiny::NS(id, "token_table")),
shiny::textAreaInput(
inputId = shiny::NS(id, "txt_for_fill_mask"),
rows = 5,
label = "Text",
width = "100%"
),
shiny::numericInput(
inputId = shiny::NS(id, "n_fillments_for_fill_mask"),
label = "N Solutions per mask",
value = 5,
min = 1,
max = 50
),
shiny::actionButton(
inputId = shiny::NS(id, "fill_mask_start"),
label = "Calculate Tokens",
width = "100%",
icon = shiny::icon("paper-plane")
)
)
),
bslib::card(
bslib::card_header(
"Estimated Tokens"
),
bslib::card_body(
bslib::layout_column_wrap(
shiny::sliderInput(
inputId = shiny::NS(id, "plot_text_size"),
min = 1,
max = 20,
value = 10,
step = 0.5,
label = "Text Size"
),
shiny::numericInput(
inputId = shiny::NS(id, "select_mask_for_fill_mask"),
value = 1,
min = 1,
max = 1,
label = "Select Mask Token"
)
),
shiny::plotOutput(outputId = shiny::NS(id, "scores_for_fill_mask"))
)
)
)
)
}
#' @title Server function for: graphical user interface for fill-mask tasks.
#' @description Functions generates the functionality of a page on the server.
#'
#' @param id `string` determining the id for the namespace.
#' @param model Model used for inference.
#' @return This function does nothing return. It is used to create the functionality of a page for a shiny app.
#'
#' @importFrom rlang .data
#'
#' @family studio_gui_text_embedding_model_fill_mask
#' @keywords internal
#' @noRd
#'
Fill_Mask_Server <- function(id, model) {
shiny::moduleServer(id, function(input, output, session) {
# global variables-----------------------------------------------------------
# TODO (Yuliia): Remove? Variable is not used
ns <- session$ns
# Render Token table--------------------------------------------------------
output$token_table <- shiny::renderTable({
shiny::req(model)
model()$get_special_tokens()
})
# Calculate tokens for the masks--------------------------------------------
fill_masked_solutions <- shiny::eventReactive(input$fill_mask_start, {
shiny::req(model)
solutions <- try(
model()$fill_mask(
text = input$txt_for_fill_mask,
n_solutions = input$n_fillments_for_fill_mask
),
silent = TRUE
)
if (methods::is(solutions, class2 = "try-error") == FALSE) {
shiny::updateNumericInput(
inputId = "select_mask_for_fill_mask",
max = length(solutions)
)
return(solutions)
} else {
display_errors(
title = "Error",
size = "l",
easy_close = TRUE,
error_messages = "Text does not contain at least one mask token. Please
check your input."
)
return(NULL)
}
})
# Generate plot-----------------------------------------------------------
output$scores_for_fill_mask <- shiny::renderPlot(
{
plot_data <- fill_masked_solutions()[[input$select_mask_for_fill_mask]]
plot_data <- plot_data[order(plot_data$score, decreasing = FALSE), ]
plot_data$token_str <- factor(plot_data$token_str, levels = (plot_data$token_str))
plot_data <- as.data.frame(plot_data)
# TODO (Yuliia): .data has no visible binding
plot <- ggplot2::ggplot(data = plot_data) +
ggplot2::geom_col(
ggplot2::aes(
x = .data$token_str,
y = .data$score
)
) +
ggplot2::coord_flip() +
ggplot2::xlab("tokens") +
ggplot2::ylab("score") +
ggplot2::theme_classic() +
ggplot2::theme(text = ggplot2::element_text(size = input$plot_text_size))
return(plot)
},
res = 2 * 72
)
})
}
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