Update app.py

app.py

@@ -125,7 +125,7 @@ qa_chain = ConversationalRetrievalChain.from_llm(
 )
 
 def chat_interface(question, history):
-    # Invoke the QA chain to get the latest answer
+    # Invoke the QA chain to get the result for the latest question
     result = qa_chain.invoke({"question": question})
     
     # Access the history stored in the memory
@@ -137,12 +137,14 @@ def chat_interface(question, history):
     for message in all_messages[::-1]:
         if message['output_key'] == 'answer':
             latest_answer = message['output']
-        elif message['input_key'] == 'question' and latest_question is None:
+        elif message['input_key'] == 'question':
             latest_question = message['input']
-        if latest_question is not None and latest_answer is not None:
+            # If we have found the latest question and its corresponding answer,
+            # break out of the loop to avoid unnecessary iterations
             break
     
-    return latest_answer  # Return the answer to the latest question
+    # Return the latest answer if available, otherwise return an empty string
+    return latest_answer
 
 chatbot_gradio_app = gr.ChatInterface(
     fn=chat_interface,