Update app.py

app.py

@@ -54,13 +54,13 @@ filepath = hf_hub_download(repo_id="depth-anything/Depth-Anything-V2-Metric-Indo
 #model.load_state_dict(state_dict)
 #model = model.to(DEVICE).eval()
 
-pipe = pipeline(task="depth-estimation", model="depth-anything/Depth-Anything-V2-Metric-Indoor-Large-hf", device=DEVICE )
+pipe = pipeline(task="depth-estimation", model="depth-anything/Depth-Anything-V2-Metric-Indoor-Large-hf", device=0)  # Use appropriate device
 
 title = "# Depth Anything V2"
 description = """Official demo for **Depth Anything V2**.
 Please refer to our [paper](https://arxiv.org/abs/2406.09414), [project page](https://depth-anything-v2.github.io), and [github](https://github.com/DepthAnything/Depth-Anything-V2) for more details."""
 
-@spaces.GPU
+@gr.Interface
 def predict_depth(image):
     return pipe(Image.fromarray(image))["depth"]
 
@@ -71,7 +71,7 @@ with gr.Blocks(css="") as demo:
 
     with gr.Row():
         input_image = gr.Image(label="Input Image", type='numpy', elem_id='img-display-input')
-        depth_image_slider = gr.Image(label="Depth Map with Slider View", elem_id='img-display-output', position=0.5)
+        depth_image_slider = gr.Image(label="Depth Map with Slider View", elem_id='img-display-output')
     submit = gr.Button(value="Compute Depth")
     gray_depth_file = gr.File(label="Grayscale depth map", elem_id="download")
     raw_file = gr.File(label="16-bit raw output (can be considered as disparity)", elem_id="download")