Update app.py

app.py

@@ -49,9 +49,8 @@ def invoke(openai_api_key, use_rag, prompt):
         result = rag_chain({"query": prompt})
         result = result["result"]
     else:
-        chain = LLMChain(llm = llm, prompt = prompt)
+        chain = LLMChain(llm = llm, prompt = CHAIN_PROMPT)
         result = chain.run({"question": prompt})
-    #print(result)
     return result
 
 description = """<strong>Overview:</strong> The app demonstrates how to use a Large Language Model (LLM) with Retrieval Augmented Generation (RAG) on external data