from random import choice
from nltk.tokenize import sent_tokenize, word_tokenize

with open("dixit.txt") as article:
    quotes = sent_tokenize(article.read())

text_in = ""
while text_in != "stop":
    text_in = input("> ")
    text_out = "> "
    words_in = word_tokenize(text_in)
    words_in.sort(key = lambda s: len(s))
    words_in.reverse()
    print(words_in)

    quote_found = False

    for word in words_in:
        for quote in quotes:
            if word in quote:
                text_out += "À propos de %s, Einstein a dit un jour : \"%s\"." % (word, quote)
                quote_found = True
                break
        if quote_found:
            break
    if not quote_found:
        text_out += "RIEN TROUVÉ"
    print(text_out);