/
app.R
56 lines (52 loc) · 1.68 KB
/
app.R
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library(shiny)
source("MyUtils.R")
ui <- fluidPage(
tags$head(tags$script(src="textselection.js")),
titlePanel("Corpus Annotation Utility"),
sidebarLayout(
sidebarPanel(
fileInput('fileInput', 'Select Corpus', accept = c('text', 'text','.txt')),
actionButton("Previous", "Previous"),
actionButton("Next", "Next"),
actionButton("mark", "Add Markup"),
downloadButton(outputId = "save",label = "Download")),
mainPanel(
tags$h1("Sentence: "),
htmlOutput("sentence"))
)
)
server <- function(input, output) {
corpus <- reactive({
corpusFile <- input$fileInput
if(is.null(corpusFile)) {
return(readCorpus('data/news.txt'))
} else {
return(readCorpus(corpusFile$datapath))
}
})
values <- reactiveValues(current = 1)
observe({
values$corpus <- corpus()
})
output$sentence <- renderText(values$corpus[values$current])
observeEvent(input$Next,{
if(values$current >=1 & values$current < length(corpus())) {
values$current <- values$current + 1
}
})
observeEvent(input$Previous,{
if(values$current > 1 & values$current <= length(corpus())) {
values$current <- values$current - 1
}
})
observeEvent(input$mark,{
values$corpus[values$current] <- input$textresult
})
output$save <- downloadHandler(filename = "marked_corpus.txt",
content = function(file) {
writeLines(text = values$corpus,
con = file,
sep = "\n")
})
}
shinyApp(ui = ui, server = server)