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flaskr_for_web.py
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# This Python file uses the following encoding: utf-8,ascii
import os
import codecs
import sqlite3
import os
from sklearn.externals import joblib
from flask import Flask, request, session, g, redirect, url_for, abort, \
render_template, flash
DATABASE = '/tmp/flaskr.db'
DEBUG = True
SECRET_KEY = 'development key'
USERNAME = 'admin'
PASSWORD = 'default'
app = Flask(__name__)
app.config.from_object(__name__)
app.config.update(dict(
DEBUG=True,
SECRET_KEY='development key',
USERNAME='admin',
PASSWORD='default'
))
app.config.from_envvar('FLASKR_SETTINGS', silent=True)
@app.route('/')
def show_entries():
if os.path.exists('text.txt'):
a = open('otvet.txt','r')
b = open('text.txt','r')
otvet = a.read()
text = b.read()
else:
otvet = "Here you will see the news' type"
text = 0
if os.path.exists('text.txt'):
os.remove('otvet.txt')
os.remove('text.txt')
return render_template('show_entries.html', otvet=otvet,text=' ')
@app.route('/add', methods=['POST'])
def add_entry():
if not session.get('logged_in'):
abort(401)
if os.path.exists('text.txt'):
os.remove('otvet.txt')
os.remove('text.txt')
new_text = request.form['text']
a = open('otvet.txt','w')
b = open('text.txt','w')
otvet = []
text = []
for papka in os.listdir('/home/lexix/database/database2')[1:]:
for name in os.listdir('/home/lexix/database/database2/%s'%papka):
otvet.append(papka)
text.append(codecs.open('/home/lexix/database/database2/%s/%s'%(papka,name),'r').read().decode('koi8_r'))
new_text = new_text.encode('utf-8')
b.write(new_text)
new_text = new_text.decode('koi8_r')
text.append(new_text)
#b.write(new_text)
clf = joblib.load('classifier.pkl')
from sklearn.feature_extraction.text import CountVectorizer
count_vect = CountVectorizer()
X_counts = count_vect.fit_transform(text)
from sklearn.feature_extraction.text import TfidfTransformer
tfidf_transformer = TfidfTransformer()
X_tfidf = tfidf_transformer.fit_transform(X_counts)
try:
predicted = clf.predict(X_tfidf)[-1:]
except BaseException:
predicted = 'the classification cannot be done'
predicted = clf.predict(X_tfidf)[-1:][0]
if predicted == 'Россия':
predicted = 'Russia'
elif predicted == 'Мир':
predicted = 'World'
elif predicted == 'Бывший СССР':
predicted = 'USSR'
elif predicted == 'Спорт':
predicted = 'Sport'
elif predicted == 'Бизнес':
predicted = 'Business'
elif predicted == 'Культура':
predicted = 'Culture'
elif predicted == 'Наука и техника':
predicted = 'Science'
elif predicted == 'Силовые структуры':
predicted = 'Military'
elif predicted == 'Интернет и СМИ':
predicted = 'Internet'
elif predicted == 'Из жизни':
predicted = 'From life'
elif predicted == 'Финансы':
predicted = 'Finance'
else:
predicted = 'the classification cannot be done'
#new_text = '23'
#a = request.form['text']+predicted[0]
a.write(predicted)
a.close()
b.close()
#request.form['text']])
#print predicted[0].decode('koi8_r')
flash("Now you can see the news' type")
return redirect(url_for('show_entries'))
@app.route('/login', methods=['GET', 'POST'])
def login():
error = None
if request.method == 'POST':
if request.form['username'] != app.config['USERNAME']:
error = 'Invalid username'
elif request.form['password'] != app.config['PASSWORD']:
error = 'Invalid password'
else:
session['logged_in'] = True
flash('You were logged in')
return redirect(url_for('show_entries'))
return render_template('login.html', error=error)
@app.route('/logout')
def logout():
session.pop('logged_in', None)
flash('You were logged out')
return redirect(url_for('show_entries'))
if __name__ == '__main__':
app.run(debug=True)