push cuda check

app.py

@@ -99,14 +99,16 @@ async def inpaint(
         mask_image = mask_image.resize((width, height))
         mask_image = mask_image.convert("L")
 
-        # Perform inpainting
+        # Reduce steps for CPU
+        num_steps = 10 if not torch.cuda.is_available() else 20
+        
         with torch.cuda.amp.autocast():
             output_image = pipe(
                 prompt=prompt,
                 negative_prompt=negative_prompt,
                 image=original_image,
                 mask_image=mask_image,
-                num_inference_steps=20,
+                num_inference_steps=num_steps,  # Reduced steps
                 guidance_scale=7.5,
             ).images[0]