add check cuda for upload

enhanced_app.py

@@ -898,18 +898,25 @@ def create_gradio_interface():
         with gr.Row():
             # Left Column: Controls and Input
             with gr.Column(scale=1):
-                gr.Markdown("### Upload Image")
-                
-                uploaded_image = gr.Image(
-                    type="pil",
-                    label="Upload Image"
-                )
-                upload_btn = gr.Button("Process Image", variant="primary", size="lg")
+                if DEPTH_AVAILABLE:
+                    gr.Markdown("### Upload Image")
+                    
+                    uploaded_image = gr.Image(
+                        type="pil",
+                        label="Upload Image"
+                    )
+                    upload_btn = gr.Button("Process Image", variant="primary", size="lg")
+                else:
+                    uploaded_image = gr.Image(visible=False)  # Hidden placeholder
+                    upload_btn = gr.Button(visible=False)     # Hidden placeholder
+                    
+                    gr.Markdown("### CPU Mode")
+                    gr.Markdown("⚠️ **Upload disabled**: DepthAnythingV2 requires CUDA. Using precomputed examples only.")
                 
                 gr.Markdown("### Examples")
                 gr.Markdown("Click on an image to load the example:")
                 
-                # Example gallery
+                # Example gallery (always visible)
                 example_gallery = gr.Gallery(
                     value=get_example_previews(),
                     label="Example Images",
@@ -939,12 +946,12 @@ def create_gradio_interface():
                 gr.Markdown("#### 3D Point Cloud")
                 pointcloud_output = gr.Plot(label="Interactive 3D Point Cloud (Colored by Segmentation)")
         
-        # Event handlers
-        upload_btn.click(
-            fn=process_uploaded_image,
-            inputs=[uploaded_image],
-            outputs=[segmentation_output, depth_output, pointcloud_output]
-        )
+        if DEPTH_AVAILABLE:
+          upload_btn.click(
+              fn=process_uploaded_image,
+              inputs=[uploaded_image],
+              outputs=[segmentation_output, depth_output, pointcloud_output]
+          )
         
         # Gallery selection loads example directly
         example_gallery.select(