Update app.py

app.py

@@ -97,9 +97,11 @@ llm = HuggingFaceLLM(
     model_name="microsoft/Phi-3-mini-4k-instruct",
 )
 
-#question = "How can I reverse diabetes?"
+question = "How can I reverse diabetes?"
 
 #pipe = pipeline(model = llm_model, tokenizer = tokenizer, task = "text-generation", temperature=0.2)
+docs1 = retriever.get_relevant_documents(question)
+print("docs1")
 
 from langchain.chains.question_answering import load_qa_chain
 
@@ -112,7 +114,7 @@ qa = ConversationalRetrievalChain.from_llm(
     chain_type_kwargs={"prompt": QA_CHAIN_PROMPT}
 )
 
-question = "How can I reverse diabetes?"
+#question = "How can I reverse diabetes?"
 result = qa({"question": question})
 print("result")
 #result['answer']