Update app.py

app.py

@@ -107,7 +107,7 @@ class GenAIQASystem:
                 vectorstore.save_local("faiss_index")
 
             llm = ChatOpenAI(
-                model="gpt-3.5-turbo",
+                model_name="gpt-3.5-turbo",
                 temperature=0,
                 callbacks=[self.callback_handler]
             )
@@ -154,7 +154,9 @@ def set_api_key(api_key):
     return message
 
 def respond(message, history):
-    return qa_system.process_query(message)
+    response = qa_system.process_query(message)
+    history.append((message, response))
+    return history
 
 def view_logs():
     return qa_system.get_logs()
@@ -165,11 +167,7 @@ with gr.Blocks(title="Generative AI Q/A System") as demo:
     gr.Markdown("Ask questions about Generative AI using this LangChain-based Q/A system.")
 
     with gr.Tab("Chat"):
-        chatbot = gr.Chatbot()
-        msg = gr.Textbox(label="Your Question")
-        clear = gr.Button("Clear")
-        msg.submit(respond, [msg, chatbot], [chatbot])
-        clear.click(lambda: None, None, chatbot, queue=False)
+        chat_interface = gr.ChatInterface(fn=respond)
 
     with gr.Tab("System Logs"):
         logs_output = gr.Textbox(label="System Logs", lines=20)
@@ -185,14 +183,14 @@ with gr.Blocks(title="Generative AI Q/A System") as demo:
     gr.Markdown("## About")
     gr.Markdown("""
     This Q/A system uses LangChain and OpenAI to answer questions based on the Wikipedia page about Generative AI.
-    
+
     Features:
     - Caching mechanism to avoid repeating work
     - Callback logging to track processing
     - Persistent vector database (FAISS)
-    
+
     Created by Anjali Haryani (Modified for Hugging Face deployment)
     """)
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()