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Update app.py
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app.py
CHANGED
@@ -11,10 +11,6 @@ with open("mom_phrases.txt", "r", encoding="utf-8") as file:
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# Read the entire contents of the file and store it in a variable
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phrases_text = file.read()
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# Print the text below
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print(phrases_text)
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# STEP 3 FROM SEMANTIC SEARCH
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def preprocess_text(text):
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# Strip extra whitespace from the beginning and the end of the text
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@@ -34,8 +30,6 @@ def preprocess_text(text):
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# Print cleaned_chunks
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print(cleaned_chunks)
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# Print the length of cleaned_chunks
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print(len(cleaned_chunks))
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@@ -118,7 +112,7 @@ def respond(message, history):
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best_chunks = get_top_chunks(message, chunk_embeddings, cleaned_chunks)
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print(best_chunks)
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str_chunks = "\n".join(best_chunks)
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messages = [{"role": "system", "content": f"You are
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{"role": "user",
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"content": (
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f"Context:\n{str_chunks}\n\n"
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# Read the entire contents of the file and store it in a variable
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phrases_text = file.read()
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# STEP 3 FROM SEMANTIC SEARCH
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def preprocess_text(text):
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# Strip extra whitespace from the beginning and the end of the text
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# Print cleaned_chunks
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print(cleaned_chunks)
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# Print the length of cleaned_chunks
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print(len(cleaned_chunks))
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best_chunks = get_top_chunks(message, chunk_embeddings, cleaned_chunks)
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print(best_chunks)
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str_chunks = "\n".join(best_chunks)
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messages = [{"role": "system", "content": f"You are chatbot that plays the role of the user's mom. Base your response on the provided context: {str_chunks}"},
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{"role": "user",
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"content": (
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f"Context:\n{str_chunks}\n\n"
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