Update app.py

app.py

@@ -5,10 +5,9 @@ from functools import lru_cache
 # Cache model loading to optimize performance
 @lru_cache(maxsize=3)
 def load_hf_model(model_name):
-    # Use the Gradio-built huggingface loader instead of transformers_gradio
     return gr.load(
         name=f"deepseek-ai/{model_name}",
-        src="huggingface",  # Changed from transformers_gradio.registry
+        src="huggingface",
         api_name="/chat"
     )
 
@@ -58,7 +57,8 @@ with gr.Blocks(theme=gr.themes.Soft(), title="DeepSeek Chatbot") as demo:
 
     with gr.Row():
         with gr.Column():
-            chatbot_output = gr.Chatbot(label="DeepSeek Chatbot", height=500)
+            # Specify type='messages' to avoid deprecation warning
+            chatbot_output = gr.Chatbot(label="DeepSeek Chatbot", height=500, type="messages")
             msg = gr.Textbox(label="Your Message", placeholder="Type your message here...")
             with gr.Row():
                 submit_btn = gr.Button("Submit", variant="primary")
@@ -101,10 +101,11 @@ with gr.Blocks(theme=gr.themes.Soft(), title="DeepSeek Chatbot") as demo:
         [chatbot_output, chat_history, msg]
     )
 
-# Add GPU support for Hugging Face Spaces
-demo.fn = spaces.GPU()(demo.fn)
-for fn in demo.fns.values():
-    fn.api_name = False
+# Remove (or replace) the old `demo.fn = spaces.GPU()(demo.fn)` line
+# If you need GPU acceleration in Spaces, wrap demo.launch() with spaces.GPU()
+# as shown below. Otherwise, remove the spaces.GPU() call.
 
 if __name__ == "__main__":
-    demo.launch()
+    # Launch the Gradio app with GPU from Hugging Face Spaces
+    # If you DON'T need GPU from `spaces`, just do: demo.launch()
+    spaces.GPU()(demo.launch)()