# from __future__ import division
from nltk import sent_tokenize , word_tokenize , pos_tag
from nltk . probability import FreqDist
from nltk . corpus import stopwords
import nltk
import codecs
import base64
nltk . download ( ' stopwords ' )
# faceapp_file = open('faceapp.txt','r')
with open ( ' tos_file/faceapp.txt ' , ' r ' ) as faceapp_file :
faceapp_text = faceapp_file . read ( )
faceapp_text_list = faceapp_text . split ( " \n \n " )
with open ( ' treaty_file/russia-estonia.txt ' , ' r ' ) as russia_file :
russia_text = russia_file . read ( )
russia_text_list = russia_text . split ( " \n \n " )
#tos stopwords
tos_default_stopwords = set ( stopwords . words ( ' english ' ) )
tos_custom_stopwords = set ( codecs . open ( ' stopwords.txt ' , ' r ' ) . read ( ) . splitlines ( ) )
tos_all_stopwords = tos_default_stopwords | tos_custom_stopwords
#treaty stopwords
t_default_stopwords = set ( stopwords . words ( ' english ' ) )
t_custom_stopwords = set ( codecs . open ( ' t_stopwords.txt ' , ' r ' ) . read ( ) . splitlines ( ) )
t_all_stopwords = t_default_stopwords | t_custom_stopwords
# multi-line string HTML
print ( ''' <!DOCTYPE html>
< html >
< head >
< script src = " https://code.jquery.com/jquery-3.5.0.min.js " > < / script >
< meta charset = " utf-8 " >
< title > < / title >
< style >
@font - face {
font - family : " Belgika " ;
src : url ( " http://bohyewoo.com/webfonts/belgika/belgika-40th-webfont.eot " ) ;
src : url ( " http://bohyewoo.com/webfonts/belgika/belgika-40th-webfont.woff " ) format ( " woff " ) ,
url ( " http://bohyewoo.com/webfonts/belgika/belgika-40th-webfont.svg#filename " ) format ( " svg " ) ;
}
@font - face {
font - family : " Belgika " ;
src : url ( " http://bohyewoo.com/webfonts/belgika/belgika-16th-webfont.eot " ) ;
src : url ( " http://bohyewoo.com/webfonts/belgika/belgika-16th-webfont.woff " ) format ( " woff " ) ,
url ( " http://bohyewoo.com/webfonts/belgika/belgika-16th-webfont.svg#filename " ) format ( " svg " ) ;
}
@font - face {
font - family : " Belgika " ;
src : url ( " http://bohyewoo.com/webfonts/belgika/belgika-8th-webfont.eot " ) ;
src : url ( " http://bohyewoo.com/webfonts/belgika/belgika-8th-webfont.woff " ) format ( " woff " ) ,
url ( " http://bohyewoo.com/webfonts/belgika/belgika-8th-webfont.svg#filename " ) format ( " svg " ) ;
}
@font - face {
font - family : " SourceCodePro " ;
src : url ( " http://bohyewoo.com/webfonts/Source_Code_Pro/SourceCodePro-Regular.ttf " ) ;
}
* {
margin : 0 ;
padding : 0 ;
}
html , body {
height : 100 % ;
}
p {
margin - bottom : 30 px ;
}
. tos_wrapper {
# background-color: yellow;
width : 49 % ;
float : left ;
margin - right : 20 px ;
border - right : 2 px solid black ;
}
. t_wrapper {
# background-color: green;
width : 49 % ;
float : right ;
}
. intro {
width : 75 % ;
float : right ;
}
. t_intro {
width : 75 % ;
float : left ;
}
. img {
# background-color: Aquamarine;
font - family : Belgika ;
font - size : 20 pt ;
padding - top : 30 px ;
float : left ;
}
. image {
height : 30 vh ;
margin - top : 30 px ;
}
. t_img {
# background-color: Aquamarine;
font - family : Belgika ;
font - size : 20 pt ;
padding - top : 30 px ;
float : left ;
}
. t_image {
height : 30 vh ;
margin - top : 30 px ;
}
. info {
# background-color: LightSkyBlue;
font - family : helvetica ;
font - weight : regular ;
font - size : 10 pt ;
width : 45 vh ;
float : left ;
margin - top : 30 px ;
# border: 2px solid black;
# text-align: center;
column - count : 2 ;
}
. t_info {
# background-color: LightSkyBlue;
font - family : helvetica ;
font - weight : regular ;
font - size : 10 pt ;
width : 45 vh ;
float : left ;
margin - top : 30 px ;
# border: 2px solid black;
# text-align: center;
column - count : 2 ;
}
. paragraph {
# background-color: gold;
font - family : helvetica ;
font - weight : regular ;
font - size : 20 px ;
width : 75 % ;
padding : 10 px ;
margin - top : 70 px ;
float : right ;
}
. t_paragraph {
# background-color: gold;
font - family : helvetica ;
font - weight : regular ;
font - size : 20 px ;
width : 98 % ;
margin - top : 70 px ;
float : right ;
}
. top_words {
background - color : black ;
width : 10 % ;
height : 100 % ;
font - family : Belgika ;
font - weight : 16 th ;
font - size : 7.5 pt ;
color : white ;
letter - spacing : 0.5 px ;
position : fixed ;
float : left ;
}
. top_words_title {
# background-color: yellow;
margin : 40 px 10 px 10 px 10 px ;
width : 80 % ;
}
. chosen_words {
# background-color: pink;
padding : 10 px 1 px 1 px 10 px ;
}
. chosen_words : hover {
background - color : white ;
color : red ;
}
. t_top_words {
background - color : black ;
width : 10 % ;
height : 100 % ;
font - family : Belgika ;
font - weight : 16 th ;
font - size : 7.5 pt ;
color : white ;
letter - spacing : 0.5 px ;
position : fixed ;
float : right ;
right : 0 ;
top : 0 ;
}
. t_top_words_title {
margin : 40 px 10 px 10 px 10 px ;
width : 80 % ;
}
. t_chosen_words {
padding : 10 px 1 px 1 px 10 px ;
}
. t_chosen_words : hover {
background - color : white ;
color : red ;
}
. hide {
# color: white;
background - color : black ;
}
. TO : hover , . DT : hover , . IN : hover , . WDT : hover , . WP : hover , . MD : hover , . PRP : hover , . CC : hover , . marks : hover , . comma : hover , . dot : hover {
background - color : black ;
}
. adjective {
color : white ;
background - color : blue ;
}
. JJ : hover {
color : white ;
background - color : blue ;
}
. noun {
background - color : springgreen ;
}
. NN : hover , . NNS : hover {
background - color : springgreen ;
}
. verb {
background - color : yellow ;
# color: yellow;
}
. VB : hover , . VBZ : hover , . VBN : hover , . VVD : hover {
background - color : yellow ;
}
. propernoun {
background - color : pink ;
# color: pink;
}
. NNP : hover , . NNPS : hover {
background - color : pink ;
}
. adverb {
background - color : lightgreen ;
# color: lightgreen;
}
. RB : hover , . RBR : hover , . JJR : hover , . RBS : hover {
background - color : lightgreen ;
}
< / style >
< / head >
< body >
< script >
$ ( document ) . ready ( function ( ) {
$ ( ' .chosen_words ' ) . click ( function ( ) {
var word = $ ( this ) . text ( ) ;
alert ( word ) ;
} ) ;
$ ( ' .TO, .DT, .IN, .WDT, .WP, .MD, .PRP, .CC, .marks, .comma, .dot ' ) . click (
function ( ) {
$ ( ' .TO, .DT, .IN, .WDT, .WP, .MD, .PRP, .CC, .marks, .comma, .dot ' ) . toggleClass ( ' hide ' ) ;
} ) ;
$ ( ' .JJ ' ) . click (
function ( ) {
$ ( ' .JJ ' ) . toggleClass ( ' adjective ' ) ;
} ) ;
$ ( ' .NN, .NNS ' ) . click (
function ( ) {
$ ( ' .NN, .NNS ' ) . toggleClass ( ' noun ' ) ;
} ) ;
$ ( ' .VB, .VBZ, .VBN, .VVD ' ) . click (
function ( ) {
$ ( ' .VB, .VBZ, .VBN, .VVD ' ) . toggleClass ( ' verb ' ) ;
} ) ;
$ ( ' .NNP, .NNPS ' ) . click (
function ( ) {
$ ( ' .NNP, .NNPS ' ) . toggleClass ( ' propernoun ' ) ;
} ) ;
$ ( ' .RB ' ) . click (
function ( ) {
$ ( ' .RB ' ) . toggleClass ( ' adverb ' ) ;
} ) ;
$ ( ' .RBR, .JJR ' ) . click (
function ( ) {
$ ( ' .RBR, .JJR ' ) . toggleClass ( ' adverb-comparative ' ) ;
} ) ;
$ ( ' .RBS ' ) . click (
function ( ) {
$ ( ' .RBS ' ) . toggleClass ( ' adverb-superlative ' ) ;
} ) ;
} )
< / script > ''' )
# $('div.t_chosen_words_{0}').mouseover(function(){
# $(this).find('.t_chosen_words_{0}').text('i + 'is here').css('color', 'red');
# })
# .mouseout(function() {
# $( this ).find( ".t_chosen_words" ).text( " " ).css('color', 'black');
# });
#wrapper
print ( ' <div class = " tos_wrapper " ><div class= " intro " > ' )
#insert an image
# https://upload.wikimedia.org/wikipedia/commons/1/15/Joffe_signing_the_Treaty_of_Tartu.jpg
FaceApp_img_url = base64 . b64encode ( open ( ' img/faceapp_logo.png ' , ' rb ' ) . read ( ) ) . decode ( ' utf-8 ' )
FaceApp_image = ' <div class= " img " >FaceApp<br><img class= " image " src= " data:img/faceapp_logo.png;base64, {} " ></div> ' . format ( FaceApp_img_url )
print ( FaceApp_image )
#info box
print ( ' <div class = " info " > ' )
infotext = [ ( ' Name of Service ' , ' FaceApp ' ) , ( ' Country of Origin ' , ' Russia ' ) , ( ' Initial release ' , ' December 31, 2016 ' ) , ( ' Type ' , ' Image editing ' ) , ( ' Word Counts ' , ' 5,392 ' ) , ( ' Original Source ' , ' <a href= " https://www.faceapp.com/terms-en.html " >link</a> ' ) , ( ' Description ' , ' FaceApp is a mobile application for iOS and Android developed by Russian company Wireless Lab. The app generates highly realistic transformations of human faces in photographs by using neural networks based on artificial intelligence. The app can transform a face to make it smile, look younger, look older, or change gender. ' ) ]
for title , info in infotext :
print ( ' <div class= " info_ {0} " ><div class= " info_title " style= " -webkit-text-decoration-line: underline; text-decoration-line: underline; " > {0} </div><div class= " info_content " > {1} </div></div><br> ' . format ( title , info ) )
print ( ' </div></div> ' )
#ToS text
print ( ' <div class = " paragraph " > ' )
for paragraph in faceapp_text_list :
tokenized = word_tokenize ( paragraph )
tagged = pos_tag ( tokenized )
print ( ' <p> ' )
for word , pos in tagged :
print ( ' <span class= " {0} {1} " > {2} </span> ' . format ( pos . replace ( ' . ' , ' dot ' ) . replace ( ' , ' , ' comma ' ) . replace ( ' ( ' , ' marks ' ) . replace ( ' ) ' , ' marks ' ) . replace ( ' : ' , ' marks ' ) . replace ( ' ; ' , ' marks ' ) , word . replace ( ' . ' , ' dot ' ) . replace ( ' , ' , ' comma ' ) . replace ( ' ( ' , ' marks ' ) . replace ( ' ) ' , ' marks ' ) . replace ( ' : ' , ' marks ' ) . replace ( ' ; ' , ' marks ' ) . lower ( ) , word ) )
print ( ' </p> ' )
print ( ' </div> ' )
#tos top words list
print ( ' <div class= " top_words " ><div class= " top_words_title " style= " -webkit-text-decoration-line: underline; text-decoration-line: underline; " >Frequent words:</div> ' )
tokens_without_stopwords = nltk . FreqDist ( words . lower ( ) for words in tokenized if words . lower ( ) not in tos_all_stopwords )
frequency_word = FreqDist ( tokens_without_stopwords )
top_words = tokens_without_stopwords . most_common ( 30 )
for chosen_words , frequency in top_words :
print ( ' <div class= " chosen_words " > {} ( {} ) </div> ' . format ( chosen_words , frequency ) )
print ( ' </div></div></div> ' )
#t_wrapper (second wrapper)
print ( ' </div><div class= " t_wrapper " ><div class= " t_intro " > ' )
#insert an image
# https://upload.wikimedia.org/wikipedia/commons/1/15/Joffe_signing_the_Treaty_of_Tartu.jpg
img_url = base64 . b64encode ( open ( ' img/tartu.jpeg ' , ' rb ' ) . read ( ) ) . decode ( ' utf-8 ' )
t_image = ' <div class= " t_img " >Peace Treaty of Tartu, Estonia<br><img class= " t_image " src= " data:img/tartu.jpeg;base64, {} " ></div> ' . format ( img_url )
print ( t_image )
#t_info box
print ( ' <div class = " t_info " > ' )
t_infotext = [ ( ' Name of Treaty ' , ' Peace Treaty of Tartu ' ) , ( ' Country of Origin ' , ' Russia ' ) , ( ' Signed ' , ' February 2, 1920 ' ) , ( ' Location ' , ' Tartu, Estonia ' ) , ( ' Word Counts ' , ' 2,104 ' ) , ( ' Type ' , ' bilateral peace treaty ' ) , ( ' Original Source ' , ' <a href= " https://en.wikipedia.org/wiki/Treaty_of_Tartu_(Russian-Estonian) " >link</a> ' ) , ( ' Description ' , ' The Tartu Peace Treaty or Treaty of Tartu is a peace treaty between Estonia and Russian Soviet Federative Socialist Republic signed on 2 February 1920, ending the Estonian War of Independence. ' ) ]
for t_title , t_info in t_infotext :
print ( ' <div class= " t_info- {0} " ><div class= " info_t_title " style= " -webkit-text-decoration-line: underline; text-decoration-line: underline; " > {0} </div><div class= " t_info_content " > {1} </div></div><br> ' . format ( t_title , t_info ) )
print ( ' </div> ' )
#Treaty text
print ( ' <div class= " t_paragraph " > ' )
for t_paragraph in russia_text_list :
t_tokenized = word_tokenize ( t_paragraph )
t_tagged = pos_tag ( t_tokenized )
print ( ' <p> ' )
for t_word , t_pos in t_tagged :
print ( ' <span class= " {0} {1} " > {2} </span> ' . format ( t_pos . replace ( ' . ' , ' dot ' ) . replace ( ' , ' , ' comma ' ) . replace ( ' ( ' , ' marks ' ) . replace ( ' ) ' , ' marks ' ) . replace ( ' : ' , ' marks ' ) . replace ( ' ; ' , ' marks ' ) , t_word . replace ( ' . ' , ' dot ' ) . replace ( ' , ' , ' comma ' ) . replace ( ' ( ' , ' marks ' ) . replace ( ' ) ' , ' marks ' ) . replace ( ' : ' , ' marks ' ) . replace ( ' ; ' , ' marks ' ) . lower ( ) , t_word ) )
print ( ' </p> ' )
print ( ' </div> ' )
#treaty colonial top words list
print ( ' <div class= " t_top_words " ><div class= " t_top_words_title " style= " -webkit-text-decoration-line: underline; text-decoration-line: underline; " >Frequent words:</div> ' )
t_tokens_without_stopwords = nltk . FreqDist ( words . lower ( ) for words in t_tokenized if words . lower ( ) not in t_all_stopwords )
t_frequency_word = FreqDist ( t_tokens_without_stopwords )
t_top_words = t_tokens_without_stopwords . most_common ( 20 )
for t_chosen_words , t_frequency in t_top_words :
print ( ' <div class= " t_chosen_words " > {} ( {} ) </div> ' . format ( t_chosen_words , t_frequency ) )
print ( ' </div></div></div> ' )
##### not working
# #treaty colonial top words list
# print('<div class="t_top_words"><div class="t_top_words_title" style="-webkit-text-decoration-line: underline; text-decoration-line: underline;" >colonial words:</div>')
# for words in faceapp_text_list:
# t_tokens_without_stopwords = nltk.FreqDist(words.lower() for words in t_tokenized if words.lower() not in t_all_stopwords)
# t_frequency_word = FreqDist(t_tokens_without_stopwords)
# t_top_words = t_tokens_without_stopwords.most_common(20)
# for t_chosen_words, t_frequency in t_top_words:
# print('<div class="t_chosen_words" > {} ({}) </div>'.format(t_chosen_words, t_frequency))
# print('</div></div></div>')
print ( ' </div> ' )
print ( ''' </body></html> ''' )
