Update app.py

app.py

@@ -51,10 +51,10 @@ def generate_response(user_input, history, model, temperature, max_tokens, top_p
     chat_history = memory.load_memory_variables({})["chat_history"]
     
     # The chatbot's answer is generated by sending the full prompt to the LLM
-    response = conversation.invoke({"human_input": user_question, "chat_history": chat_history})
+    response = conversation.invoke({"human_input": user_input, "chat_history": chat_history})
 
     # Update the memory with the new interaction
-    memory.save_context({"input": user_question}, {"output": response.content})
+    memory.save_context({"input": user_input}, {"output": response.content})
     
     return response.content