changed

# -*- coding: utf-8 -*-
"""
Created on Mon Jul 23 16:52:17 2018

@author: Mouaad
"""

# -*- coding: utf-8 -*-
"""
Created on Sat Jul 21 01:50:01 2018

@author: Mouaad
"""

from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize, sent_tokenize
from nltk.stem.snowball import SnowballStemmer
# If you get an error uncomment this line and download the necessary libraries
#nltk.download()*
from os import chdir

chdir("C:\\Users\\Mouaad\\Desktop\\python\\projet_pythonSRD\\Corpus")

def contenue(nomfichier):
    f=open(nomfichier,'r')
    content=f.read()
    return content

def sum(text):
    stemmer = SnowballStemmer("french")
    stopWords = set(stopwords.words("french"))
    words = word_tokenize(text)

    freqTable = dict()
    for word in words:
        word = word.lower()
        if word in stopWords:
            continue

        word = stemmer.stem(word)

        if word in freqTable:
            freqTable[word] += 1
        else:
            freqTable[word] = 1

    sentences = sent_tokenize(text)
    sentenceValue = dict()

    for sentence in sentences:
        for word, freq in freqTable.items():
            if word in sentence.lower():
                if sentence in sentenceValue:
                    sentenceValue[sentence] += freq
                else:
                    sentenceValue[sentence] = freq



    sumValues = 0
    for sentence in sentenceValue:
        sumValues += sentenceValue[sentence]

    # Average value of a sentence from original text
    average = int(sumValues / len(sentenceValue))


    summary = ''
    for sentence in sentences:
        if (sentence in sentenceValue) and (sentenceValue[sentence] > (1.3* average)):
            summary += " " + sentence

    print( summary )

    return summary # <-----