Update app.py

app.py

@@ -260,26 +260,4 @@ with gr.Blocks(title="📖 Image/PDF OCR with LightOnOCR", theme=gr.themes.Soft(
 
 
 if __name__ == "__main__":
-    demo.launch()
-```
-
-**Key improvements:**
-
-1. **Conditional flash-attn installation**: Only installs flash-attn when CUDA is available
-2. **Automatic attention selection**:
-   - **GPU**: `flash_attention_2` (fastest and most memory-efficient)
-   - **CPU**: `eager` (standard PyTorch attention, best for CPU)
-3. **Appropriate dtype**: `bfloat16` for GPU, `float32` for CPU
-4. **Performance optimizations**:
-   - Added `torch.no_grad()` context for inference
-   - Proper temperature handling (0.0 for greedy decoding)
-5. **UI feedback**: Shows device and attention implementation in the interface
-
-**Requirements.txt:**
-```
-gradio
-torch
-transformers>=4.37.0
-pypdfium2
-pillow
-spaces
+    demo.launch()