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Update main.py
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main.py
CHANGED
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@@ -110,7 +110,7 @@ async def server_1():
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print("The important words " )
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print(words)
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print("x[snippet].find(words)")
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print(x["snippet"].find(words))
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if x["snippet"].find(words) != -1 :
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print("Found word")
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snipp_score = snipp_score + 1
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@@ -132,11 +132,11 @@ async def server_1():
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continue
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else :
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# skip the result
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print("This is not added")
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print(x["snippet"])
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print("important keywords")
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print(important_keywords)
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print("capitalized_score")
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print(capitalized_score)
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print("snipp_score")
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print(snipp_score)
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@@ -166,13 +166,13 @@ async def server_1():
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score = 0 ; cap_score = 0 ;
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for words in important_keywords :
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if y.find(words) != -1 :
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print(y)
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print(score)
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score = score + 1
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for words in uppercased_keywords :
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if y.find(words) != -1 :
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print(y)
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print(cap_score)
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cap_score = cap_score + 1
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if ( score == ( len(important_keywords) ) ) and ( cap_score >= ( len(uppercased_keywords) ) ):
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n_results[iter_x].append(y)
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@@ -243,7 +243,7 @@ async def server_1():
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similarity_scores = "There's an error in llm similarity search retrieval"
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return similarity_scores
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time.sleep(
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result_processed = ""
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## if response is all list
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if varcontinue_similarity == 1 :
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@@ -423,6 +423,8 @@ def process_similarity_15(sorted0, sorted1, sorted2, sorted3, actualscore0, actu
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=8081)
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print("The important words " )
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print(words)
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print("x[snippet].find(words)")
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# print(x["snippet"].find(words))
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if x["snippet"].find(words) != -1 :
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print("Found word")
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snipp_score = snipp_score + 1
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continue
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else :
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# skip the result
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# print("This is not added")
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# print(x["snippet"])
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# print("important keywords")
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# print(important_keywords)
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# print("capitalized_score")
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print(capitalized_score)
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print("snipp_score")
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print(snipp_score)
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score = 0 ; cap_score = 0 ;
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for words in important_keywords :
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if y.find(words) != -1 :
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# print(y)
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# print(score)
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score = score + 1
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for words in uppercased_keywords :
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if y.find(words) != -1 :
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# print(y)
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# print(cap_score)
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cap_score = cap_score + 1
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if ( score == ( len(important_keywords) ) ) and ( cap_score >= ( len(uppercased_keywords) ) ):
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n_results[iter_x].append(y)
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similarity_scores = "There's an error in llm similarity search retrieval"
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return similarity_scores
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time.sleep(2)
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result_processed = ""
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## if response is all list
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if varcontinue_similarity == 1 :
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=8081)
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time.sleep(4)
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server_app()
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