Update app.py

app.py

@@ -31,13 +31,13 @@ llm = ChatOpenAI(
     api_key=openai_api_key
 )
 
-# ✅ Chat Function with per-user memory
-def get_text_response(user_message, state):
-    # create a new memory if state is empty
+# ✅ Chat Function (3 args required!)
+def get_text_response(user_message, history, state):
+    # create memory if none exists for this session
     if state is None:
         state = ConversationBufferMemory(memory_key="chat_history")
 
-    # Build chain with user-specific memory
+    # Chain with per-user memory
     llm_chain = LLMChain(
         llm=llm,
         prompt=prompt,
@@ -48,7 +48,7 @@ def get_text_response(user_message, state):
     response = llm_chain.predict(user_message=user_message)
     return response, state
 
-# ✅ Gradio Chat App with corrected examples
+# ✅ Gradio Chat App
 demo = gr.ChatInterface(
     fn=get_text_response,
     examples=[
@@ -56,7 +56,7 @@ demo = gr.ChatInterface(
         ["What are your interests?", None],
         ["Which places do you like to visit?", None]
     ],
-    additional_inputs=[gr.State()]  # 👈 ensures each user has independent memory
+    additional_inputs=[gr.State()]
 )
 
 if __name__ == "__main__":