43 lines
No EOL
1.3 KiB
Python
43 lines
No EOL
1.3 KiB
Python
import json
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def jaccard_similarity(userQuestion, questionBank):
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s1 = set(userQuestion)
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s2 = set(questionBank)
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return float(len(s1.intersection(s2)) / len(s1.union(s2)))
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def most_likely(userQuestion):
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likelihoodScore = []
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fileObject = open("faq.json", "r")
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jsonContent = fileObject.read()
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aList = json.loads(jsonContent)
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for json_object in aList:
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likelihoodScore.append(jaccard_similarity(userQuestion, json_object['question']))
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#print(likelihoodScore)
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mostLikelyIndex = likelihoodScore.index(max(likelihoodScore))
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mostLikely = aList[mostLikelyIndex]
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fileObject.close()
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return mostLikely
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def main():
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print("Hello, I am a question answering bot.\n")
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userQuestion = ''
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while True:
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userQuestion = input('Please enter a question, and press the ENTER key: \n').strip()
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if userQuestion:
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likelyQuestion = most_likely(userQuestion)
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print ("I think that you asked " + "'" + (likelyQuestion['question']) + "'" + " and conclude that the answer is " + "'" + (likelyQuestion['answer']) + "'.\n")
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# Open the file in append & read mode ('a+')
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with open("asked_questions_log.txt", "a+") as file_object:
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file_object.write("\n")
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file_object.write(userQuestion)
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else :
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print ("Goodbye!")
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exit()
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if __name__ == "__main__":
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main() |