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app.R
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library(shiny)
library(arrow)
library(quanteda)
library(data.table)
library(stringr)
summary_uni <- setDT(read_feather("summary_uni"))
summary_bi <- setDT(read_feather("summary_bi"))
summary_tri <- setDT(read_feather("summary_tri"))
summary_quad <- setDT(read_feather("summary_quad"))
ui <- fluidPage(
tags$head(
tags$script(src = "awesomplete.min.js"),
tags$link(rel = "stylesheet", href = "awesomplete.min.css"),
tags$script(HTML("
var awesomplete;
$(document).ready(function() {
var input = document.getElementById('text_input');
awesomplete = new Awesomplete(input, {
minChars: 1,
maxItems: 5,
autoFirst: true,
sort: false,
filter: function(text, input) {
var words = input.split(' ');
var lastWord = words[words.length - 1];
return Awesomplete.FILTER_CONTAINS(text, lastWord);
},
replace: function(suggestion) {
var words = input.value.split(' ');
words[words.length - 1] = suggestion;
input.value = words.join(' ');
}
});
});
Shiny.addCustomMessageHandler('updateList', function(data) {
awesomplete.list = data;
document.getElementById('first_word').textContent = data[0];
document.getElementById('other_words').innerHTML = '';
for (var i = 1; i < data.length; i++) {
var element = document.createElement('p');
element.textContent = data[i];
document.getElementById('other_words').appendChild(element);
}
});
"))
),
tags$style(HTML("
.navbar {
min-height: 15px;
padding-top: 0px;
padding-bottom: 0px;
}
.navbar-brand {
padding-top: 0px;
padding-bottom: 0px;
}
.nav-link {
padding-top: 3px;
padding-bottom: 3px;
}
")),
tags$div(
tags$h1("Text completer 1.0", style = "text-align: left; margin-bottom: 10px; margin-top: 10px;font-size: 20px;")
),
#theme = bs_theme(bootswatch = "zephyr"),
navbarPage(
title = "",
tabPanel("Index",
fluidRow(
style = "display: flex; justify-content: left; align-items: top; height: 100vh;",
tags$textarea(
id = "text_input",
type = "text",
placeholder = "Type and end with space to get suggestions!",
style = "width: 400px; resize: none; font-size: 16px; padding: 10px; border: 1px solid #ccc; border-radius: 5px;"
),
tags$div(
id = "label_div",
style = "margin-left: 8px;",
tags$p("Predicted word: "),
tags$p(
id = "first_word",
style = "font-weight: bold; margin-bottom: 0px;"
),),
tags$div(
id = "label_div2",
style = "margin-left: 8px;",
tags$p("Other suggestions: "),
tags$p(
id = "other_words",
style = "font-weight: bold; margin-bottom: 0px;"
),)
)),
tabPanel("Help",h4("How to use the app"),br(),
p("Start type a sentence in English and end with a blank space to trigger the algorithm."),
p("Up to three suggestions may appear."),p("You may select a suggestion by using the up and down arrow followed by Enter (alternatively you can click with your mouse or trackpad).")
)
)
)
server <- function(input, output, session) {
observeEvent(input$text_input, {
New_sent<-0
text <- input$text_input
if (nchar(text) >= 1 && trimws(text) != "") {
sentences <- str_split(text, pattern = "(?<=\\.\\s)", simplify = TRUE)
last_sentence <- tail(sentences, n = 1)
cleaned_text <- paste(last_sentence, collapse = " ")
if (substr(text, nchar(text), nchar(text)) == " ") {
cleaned_text<-paste0(cleaned_text," ")
}
if (grepl("[\\.\\?!]+\\s*$", text)) {
cleaned_text <- ""
}
#Function that generates suggestions
backoff3 <- function(input_string) {
found_sugg <- FALSE
relevant <- NULL
words <- tokens(tolower(input_string), what = "word")
words_orig <- tokens(input_string, what = "word")
words_lengths <- ntoken(input_string)
new_words <- ""
for (w in 1:words_lengths){
token<-paste(tokens_select(words, startpos = w, endpos = w), collapse = " ")
if(words_lengths>1){
token <- summary_uni$last_word[match(token, summary_uni$last_word, nomatch="<UNK>")]
}
new_words <- paste0(new_words, token, sep=" ")
}
last_words_input<-tokens(new_words)
if (words_lengths > 3) {
last_words <- trimws(paste(tokens_select(last_words_input, startpos = words_lengths - 2, endpos = words_lengths), collapse = " "))
} else {
last_words <- trimws(paste(tokens_select(tokens(last_words_input), startpos = 1 , endpos = words_lengths), collapse = " "))
}
last_two_words <- paste(tokens_select(last_words_input, startpos = words_lengths-1, endpos = words_lengths), collapse = " ")
last_word <- paste(tokens_select(words, startpos = words_lengths, endpos = words_lengths), collapse = " ")
last_word_orig <- paste(tokens_select(words_orig, startpos = words_lengths, endpos = words_lengths), collapse = " ")
length_last_words <- ntoken(last_words)
if (length_last_words == 3) {
ngram_lengths <- 4:2
}
if (length_last_words == 2) {
ngram_lengths <- 3:2
}
if (length_last_words == 1) {
ngram_lengths <- ifelse(substr(input_string, nchar(input_string), nchar(input_string)) == " ", 2:2, 1:1)
}
low_last_words<-tolower(last_words)
low_last_two_words<-tolower(last_two_words)
low_last_word<-tolower(last_word)
if(trimws(text) != ""){
if (substr(text, nchar(text), nchar(text)) == " " && trimws(cleaned_text) != "") {
for (ngram_length in ngram_lengths) {
if (found_sugg == FALSE) {
ngram_integer <-ngram_length
if (ngram_integer == 4) {
relevant <- summary_quad[rest_of_string %in% low_last_words][1:3]
relevant <- subset(relevant, select = c(last_word, Frequency))
}
if (ngram_integer == 3) {
relevant <- summary_tri[rest_of_string %in% low_last_two_words][1:3]
relevant <- subset(relevant, select = c(last_word, Frequency))
}
if (ngram_integer == 2) {
relevant <- summary_bi[rest_of_string %in% low_last_word][1:3]
relevant <- subset(relevant, select = c(last_word, Frequency))
}
if (!is.na(relevant$last_word[1])) {
found_sugg <- TRUE
break
}
}
}
if (is.na(relevant$last_word[1])) {
relevant$last_word[1]<-"a"
}
}
if (substr(text, nchar(text), nchar(text)) != " " && trimws(cleaned_text) != "") {
for (ngram_length in ngram_lengths) {
if (found_sugg == FALSE) {
ngram_integer <- as.integer(ngram_length)
if (ngram_integer == 4) {
relevant <- summary_quad[startsWith(summary_quad$rest_of_string, low_last_words), ][1:3]
relevant <- subset(relevant, select = c(last_word, Frequency))
}
if (ngram_integer == 3) {
relevant <- summary_tri[startsWith(summary_tri$rest_of_string, low_last_two_words), ][1:3]
relevant <- subset(relevant, select = c(last_word, Frequency))
}
if (ngram_integer == 2) {
relevant <- summary_bi[startsWith(summary_bi$rest_of_string, low_last_word), ][1:3]
relevant <- subset(relevant, select = c(last_word, Frequency))
}
if (found_sugg==FALSE) {
relevant <- summary_uni[startsWith(summary_uni$last_word, low_last_word), ][1:3]
relevant <- subset(relevant, select = c(last_word, Frequency))
}
if (!is.na(relevant$last_word[1])) {
found_sugg <- TRUE
if (grepl("^[A-Z]", last_word_orig)) {
relevant$last_word <- paste(toupper(substr(relevant$last_word, 1, 1)), substr(relevant$last_word, 2, nchar(relevant$last_word)), sep = "")
New_sent<-1
}
break
}
}
}
}
}
return(relevant$last_word)
}
itm_list<-list(NA)
if(cleaned_text!=""){
itm_list <- backoff3(cleaned_text)
#List of words that where the first letter should be a capital letter
cap_words <- c("states of america","i","i'm","i'd", "mrs", "mr", "ms", "america", "france",
"january", "february", "march", "april", "may", "june",
"july", "august", "september", "october", "november", "december",
"usa", "uea", "nato", "iea", "new york","chicago","los angeles",
"barack", "obama", "trump", "reagan", "mcdonald", "garbo",
"tara", "president", "romney", "elizabeth", "ghandi", "united",
"jefferson","johnson", "zimmerman", "vidal", "stalin", "hitler", "eichman",
"jordan", "jackson", "haag", "gates", "merill", "eu", "europe","u.s","u.s.","kennedy","walters",
"africa", "asia","depp","hanks", "cruise", "kidman","brown","springer","cruz","brady","winfrey",
"khan","earl", "dylan", "marley", "tyler", "spielberg","andrew","andersen", "merkel", "smith", "claus")
for (i in 1:length(itm_list)) {
if (itm_list[i] %in% cap_words) {
itm_list[i] <- str_to_title(itm_list[i])
}
}
}
if (grepl("^[A-Z]", cleaned_text)) {
if (New_sent==1) {
for (i in 1:length(itm_list)) {
itm_list[i] <- str_to_title(itm_list[i])
}
}
}
itm_list <- itm_list[!is.na(itm_list)]
itm_list <- as.list(itm_list)
session$sendCustomMessage(type = "updateList", itm_list)
}
})
}
shinyApp(ui, server)