Update app.py

app.py

@@ -40,7 +40,7 @@ qdrant = Qdrant.from_documents(
 )
 retriever = qdrant.as_retriever()
 qna = RetrievalQA.from_chain_type(
-    llm=HuggingFaceHub(repo_id="ahmadmac/Trained-T5-large", model_kwargs={"temperature": 0.8, "max_length": 512}, 
+    llm=HuggingFaceHub(repo_id="google/flan-t5-large", model_kwargs={"temperature": 0.9, "max_length": 512}, 
                        huggingfacehub_api_token=os.environ["HUGGINGFACEHUB_API_TOKEN"]),
     chain_type="stuff",
     retriever=retriever
@@ -49,10 +49,6 @@ def chatbot(question, chat_history):
     response = chain.run(question)
     retrieval_result = qna(question)
     retrieval_answer = retrieval_result['result']
-    # if retrival_answer.strip():
-    #     combined_response=f"Based on the information available:\n{retrieval_answer}"
-    # else:
-    #     combined_response=f"Response through LLM:\n{response}"
     combined_response = f"Based on the information available:\n{retrieval_answer}\n Response through LLM:\n{response}"
     return combined_response
 demo = gr.ChatInterface(