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Upload app.py
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app.py
CHANGED
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@@ -30,7 +30,8 @@ def load_vector_db(zip_file_path, extract_path):
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# Function to augment prompt
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def augment_prompt(query, vectordb):
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-
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source_knowledge = "\n".join([x.page_content for x in results])
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augmented_prompt = f"""
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You are an AI assistant. Use the context provided below to answer the question as comprehensively as possible.
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@@ -46,7 +47,7 @@ def augment_prompt(query, vectordb):
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# Function to handle chat with OpenAI
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def chat_with_openai(query, vectordb, openai_api_key):
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chat = ChatOpenAI(model_name="gpt-
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augmented_query = augment_prompt(query, vectordb)
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prompt = HumanMessage(content=augmented_query)
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messages = [
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@@ -201,4 +202,4 @@ if prompt := st.chat_input("Enter your query"):
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# if isinstance(message, HumanMessage):
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# st.write(f"You: {message.content}")
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# else:
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# st.write(f"AI: {message.content}")
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# Function to augment prompt
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def augment_prompt(query, vectordb):
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# Max Marginal Relevance for better diversity in info retrieval
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results = vectordb.max_marginal_relevance_search(query, k=10, fetch_k=50)
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source_knowledge = "\n".join([x.page_content for x in results])
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augmented_prompt = f"""
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You are an AI assistant. Use the context provided below to answer the question as comprehensively as possible.
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# Function to handle chat with OpenAI
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def chat_with_openai(query, vectordb, openai_api_key):
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chat = ChatOpenAI(model_name="gpt-5-mini", openai_api_key=openai_api_key, temperature=0.1)
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augmented_query = augment_prompt(query, vectordb)
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prompt = HumanMessage(content=augmented_query)
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messages = [
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# if isinstance(message, HumanMessage):
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# st.write(f"You: {message.content}")
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# else:
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# st.write(f"AI: {message.content}")
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