Update app.py

app.py

@@ -56,10 +56,10 @@ retriever = vectordb.as_retriever(
     search_type="similarity", search_kwargs={"k": 2}
 )
 
-#from langchain.chains import RetrievalQA
+from langchain.chains import RetrievalQA
 from langchain_core.prompts import ChatPromptTemplate
 
-from langchain.chains import create_retrieval_chain
+#from langchain.chains import create_retrieval_chain
 from langchain.chains.combine_documents import create_stuff_documents_chain
 #from langchain import hub
 
@@ -68,7 +68,7 @@ READER_MODEL="HuggingFaceH4/zephyr-7b-beta"
 #HuggingFaceH4/zephyr-7b-beta
 #READER_MODEL=Ollama(model="meta-llama/Meta-Llama-Guard-2-8B")
 #qa = ConversationalRetrievalChain.from_llm(llm=READER_MODEL,retriever=retriever,memory=memory)
-#qa = RetrievalQA.from_chain_type(llm=READER_MODEL,chain_type="map_reduce",retriever=retriever,verbose=True)
+qa = RetrievalQA.from_chain_type(llm=READER_MODEL,chain_type="map_reduce",retriever=retriever,verbose=True)
 
 #retrieval_qa_chat_prompt = hub.pull("langchain-ai/retrieval-qa-chat")