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q&a working

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This commit is contained in:
David Lawler 2022-03-02 13:22:31 +10:00
parent 4623fe2884
commit 09a4b427c2
3 changed files with 35 additions and 766 deletions
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asked_questions_log.txt
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hi /nboo /n
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testing
joe
fred
fras
/usr/local/bin/python3 "/Volumes/GoogleDrive-100976413726208790908/My Drive/UNI/INFS 2048 - System Design and Realisation/Assessment 2B/main.py"
h
test
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/usr/local/bin/python3 "/Volumes/GoogleDrive-100976413726208790908/My Drive/UNI/INFS 2048 - System Design and Realisation/Assessment 2B/main.py"
/usr/local/bin/python3 "/Volumes/GoogleDrive-100976413726208790908/My Drive/UNI/INFS 2048 - System Design and Realisation/Assessment 2B/main.py"
/usr/local/bin/python3 "/Volumes/GoogleDrive-100976413726208790908/My Drive/UNI/INFS 2048 - System Design and Realisation/Assessment 2B/main.py"
/usr/local/bin/python3 "/Volumes/GoogleDrive-100976413726208790908/My Drive/UNI/INFS 2048 - System Design and Realisation/Assessment 2B/main.py"
/usr/local/bin/python3 "/Volumes/GoogleDrive-100976413726208790908/My Drive/UNI/INFS 2048 - System Design and Realisation/Assessment 2B/main.py"
/usr/local/bin/python3 "/Volumes/GoogleDrive-100976413726208790908/My Drive/UNI/INFS 2048 - System Design and Realisation/Assessment 2B/main.py"
/usr/local/bin/python3 "/Volumes/GoogleDrive-100976413726208790908/My Drive/UNI/INFS 2048 - System Design and Realisation/Assessment 2B/main.py"
hello
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what is the weather like today
how are you
what is your name

4
faq.json
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@ -6,5 +6,9 @@
{ {
"question": "What is the weather like today?", "question": "What is the weather like today?",
"answer": "Same as yesterday." "answer": "Same as yesterday."
},
{
"question": "What is your birthday?",
"answer": "April."
} }
] ]

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main.py
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import json import json
def jaccard_similarity(userQuestion, questionBank):
s1 = set(userQuestion)
s2 = set(questionBank)
return float(len(s1.intersection(s2)) / len(s1.union(s2)))
def most_likely(userQuestion):
likelihoodScore = []
fileObject = open("faq.json", "r")
jsonContent = fileObject.read()
aList = json.loads(jsonContent)
for json_object in aList:
likelihoodScore.append(jaccard_similarity(userQuestion, json_object['question']))
#print(likelihoodScore)
mostLikelyIndex = likelihoodScore.index(max(likelihoodScore))
mostLikely = aList[mostLikelyIndex]
return mostLikely
def main():
print("Hello, I am a question answering bot.\n") print("Hello, I am a question answering bot.\n")
#question = str(input("Please enter a question, and press the ENTER key:\n"))
#if question.isalpha():
# print ("I think that you asked " + (question))
# # Open the file in append & read mode ('a+')
# with open("asked_questions_log.txt", "a+") as file_object:
# # Move read cursor to the start of file.
# file_object.seek(0)
# # If file is not empty then append '\n'
# data = file_object.read(100)
# if len(data) > 0 :
# file_object.write("\n")
# # Append text at the end of file
# file_object.write(question)
userQuestion = '' userQuestion = ''
while True: while True:
#question = input('') userQuestion = input('Please enter a question, and press the ENTER key: \n').strip()
userQuestion = input('Please enter a question, and press the ENTER key: ').strip()
if userQuestion: if userQuestion:
print ("I think that you asked " + (userQuestion)) likelyQuestion = most_likely(userQuestion)
print ("I think that you asked " + "'" + (likelyQuestion['question']) + "'" + " and conclude that the answer is " + "'" + (likelyQuestion['answer']) + "'.\n")
# Open the file in append & read mode ('a+') # Open the file in append & read mode ('a+')
with open("asked_questions_log.txt", "a+") as file_object: with open("asked_questions_log.txt", "a+") as file_object:
file_object.seek(0) # Move read cursor to the start of file. file_object.seek(0) # Move read cursor to the start of file.
@ -27,26 +35,11 @@ while True:
# Append text at the end of file # Append text at the end of file
file_object.write("\n") file_object.write("\n")
file_object.write(userQuestion) file_object.write(userQuestion)
else : else :
print ("Goodbye!") print ("Goodbye!")
exit() exit()
#else: if __name__ == "__main__":
# sys.exit() main()
#def jaccard_similarity(list1, list2):
# s1 = set(list1)
# s2 = set(list2)
# return float(len(s1.intersection(s2)) / len(s1.union(s2)))
#list1 = ['dog', 'cat', 'cat', 'rat']
#list2 = ['dog', 'cat', 'mouse']
#jaccard_similarity(list1, list2)
#with open('faq.json', 'r') as f:
# questionBank = json.load(f)
# Output json file for testing
#print(questionBank)