Update app.py

app.py

@@ -137,7 +137,7 @@ def run_chain(user_query):
       vector_db_from_index = Pinecone.from_existing_index(index_name, hf_embeddings, namespace=namespace)
       ss_results = vector_db_from_index.similarity_search(query=user_query, namespace=namespace, k=5)
       #initial_ai_response = chain.run(input_documents=ss_results, question=user_query)        
-      initial_ai_response=chain({"input_documents": ss_results, "question": user_query}, return_only_outputs=True)            
+      initial_ai_response=chain({"context": ss_results, "question": user_query}, return_only_outputs=True)            
       temp_ai_response = initial_ai_response.partition('<|end|>')[0]
       final_ai_response = temp_ai_response.replace('\n', '')
       print(final_ai_response)