Update app.py

app.py

@@ -124,27 +124,10 @@ qa_chain = ConversationalRetrievalChain.from_llm(
     output_key = 'answer'
 )
 
-def chat_interface(question, history):
-    # Invoke the QA chain to get the result for the latest question
+def chat_interface(question,history):
+
     result = qa_chain.invoke({"question": question})
-    
-    # Access the history stored in the memory
-    all_messages = memory.get_all_messages()
-    
-    # Filter out all but the latest question and answer
-    latest_question = None
-    latest_answer = None
-    for message in all_messages[::-1]:
-        if message['output_key'] == 'answer':
-            latest_answer = message['output']
-        elif message['input_key'] == 'question':
-            latest_question = message['input']
-            # If we have found the latest question and its corresponding answer,
-            # break out of the loop to avoid unnecessary iterations
-            break
-    
-    # Return the latest answer if available, otherwise return an empty string
-    return latest_answer
+    return result['answer']  # If the result is a string, return it directly
 
 
 chatbot_gradio_app = gr.ChatInterface(