Update app.py

app.py

@@ -1,5 +1,27 @@
 import gradio as gr
-def invert(img):
+import torch
+from huggingface_hub import hf_hub_download
+from depth_anything_v2.dpt import DepthAnythingV2
+
+def dummy_infer(img):
     return 255 - img
-iface = gr.Interface(fn=invert, inputs=gr.Image(type="numpy"), outputs=gr.Image())
-iface.launch()
+
+# --- LOAD THE MODEL, BUT DON'T USE IT ---
+DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'
+model_configs = {
+    'vitl': {'encoder': 'vitl', 'features': 256, 'out_channels': [256, 512, 1024, 1024]},
+}
+encoder = 'vitl'
+model = DepthAnythingV2(**model_configs[encoder])
+model_path = hf_hub_download(
+    repo_id="depth-anything/Depth-Anything-V2-Large",
+    filename=f"depth_anything_v2_{encoder}.pth",
+    repo_type="model"
+)
+state_dict = torch.load(model_path, map_location="cpu")
+model.load_state_dict(state_dict)
+model = model.to(DEVICE).eval()
+# --- END MODEL LOADING ---
+
+iface = gr.Interface(fn=dummy_infer, inputs=gr.Image(type="numpy"), outputs=gr.Image())
+iface.launch()