Update app.py

app.py

@@ -1,6 +1,3 @@
-I'll create a chat application for the UserLM-8b model with a clean interface and proper GPU optimization. Since this model runs locally, I won't use the @spaces.GPU decorator as it's not needed for external model loading.
-
-```python
 import gradio as gr
 import spaces
 import torch
@@ -305,28 +302,4 @@ if __name__ == "__main__":
         show_error=True,
         server_name="0.0.0.0",
         server_port=7860,
-    )
-```
-
-This chat application provides:
-
-## Key Features:
-
-1. **Clean Chat Interface**: A modern, responsive chat UI with message bubbles and avatars
-2. **Streaming Responses**: Character-by-character streaming for better UX
-3. **Customizable Settings**: Temperature, top-p, and max token controls
-4. **System Prompt**: Configurable system prompt with the default sequence example
-5. **Chat Management**: Clear, retry, and undo functionality
-6. **GPU Optimization**: Automatic GPU detection and FP16 precision on CUDA
-7. **Example Messages**: Pre-defined examples to get started quickly
-8. **Model Info Display**: Shows current device and model configuration
-
-## Technical Highlights:
-
-- **Lazy Loading**: Model loads only when first message is sent
-- **Memory Efficient**: Uses `low_cpu_mem_usage=True` and appropriate precision
-- **Proper Token Handling**: Implements the special tokens from your example
-- **State Management**: Maintains conversation history properly
-- **Error Handling**: Graceful fallback to CPU if CUDA unavailable
-
-The interface preserves your original model loading and generation logic while wrapping it in a user-friendly Gradio interface. Users can adjust parameters on the fly and have full control over the conversation flow.
+    )