29 lines
754 B
Python
29 lines
754 B
Python
from random import choice
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from nltk.tokenize import sent_tokenize, word_tokenize
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with open("dixit.txt") as article:
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quotes = sent_tokenize(article.read())
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text_in = ""
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while text_in != "stop":
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text_in = input("> ")
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text_out = "> "
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words_in = word_tokenize(text_in)
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words_in.sort(key = lambda s: len(s))
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words_in.reverse()
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print(words_in)
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quote_found = False
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for word in words_in:
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for quote in quotes:
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if word in quote:
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text_out += "À propos de %s, Einstein a dit un jour : \"%s\"." % (word, quote)
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quote_found = True
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break
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if quote_found:
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break
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if not quote_found:
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text_out += "RIEN TROUVÉ"
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print(text_out);
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