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FLASKATATAU.py
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FLASKATATAU.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from flask import Flask, render_template, request
import sys
import re
import codecs
import nltk
from nltk.corpus import stopwords
from pyuca import Collator
c = Collator("corpustxt/allkeys.txt")
arq="corpustxt/todasfrases.txt"
fileObj = codecs.open( arq, "r", "utf-8" )
catatau = fileObj.read() # Returns a Unicode string from the UTF-8 bytes in the file
# separa em linhas
stok = nltk.data.load('tokenizers/punkt/portuguese.pickle')
catalinhas=stok.tokenize(catatau)
# filtra repetições
a = set(catalinhas)
frases=list(a)
# usando o padrao de ordenamento do collate pyuca para considerar acentos
frases=sorted(frases, key=c.sort_key)
frases.reverse()
app = Flask(__name__)
@app.route('/')
def inicio():
return render_template('index.html')
@app.route('/teste')
def teste():
return render_template('indice/index.html')
@app.route('/frases/<var1>')
def busca(var1):
b = re.compile("\\b"+var1+"\\b", re.IGNORECASE)
txt=''
for f in frases:
achou = re.search(b, f)
if achou:
txt='<p>'+f+'</p>'+txt
return '<html><title>ALFA:Ta:TAL</title><style>p{color:#335 font-family: \"courier\";line-height: 50px; font-size: 50px; text-decoration: none}</style><body><a href=\"http://localhost:5000\">Volta</a></br>'+txt+'</body></html>'
if __name__ == "__main__":
app.run()