Update document_chat.py

document_chat.py

@@ -42,15 +42,11 @@ def process_query_with_memory(query, chat_memory):
     # Initialize LLM
     llm = HuggingFaceHub(repo_id=LLM_MODEL, model_kwargs={"max_new_tokens": 500})
 
-    # Load QA Chain
-    qa_chain = load_qa_chain(llm, chain_type="stuff")
-
     # Create Conversational Retrieval Chain correctly
     conversation_chain = ConversationalRetrievalChain.from_llm(
         llm=llm,
         retriever=retriever,
-        memory=chat_memory,
-        combine_docs_chain=qa_chain
+        memory=chat_memory
     )
 
-    return conversation_chain.run({"question": query, "chat_history": chat_memory.memory if chat_memory else []})
+    return conversation_chain.run({"question": query, "chat_history": chat_memory.memory if chat_memory else []})