Update app.py

app.py

@@ -33,8 +33,7 @@ model = torch.hub.load('isl-org/ZoeDepth', "ZoeD_N", pretrained=True).to("cpu").
 @spaces.GPU(enable_queue=True)
 def save_raw_16bit(depth, fpath="raw.png"):
     if isinstance(depth, torch.Tensor):
-        depth
- = depth.squeeze().cpu().numpy()
+        depth = depth.squeeze().cpu().numpy()
     
     assert isinstance(depth, np.ndarray), "Depth must be a torch tensor or numpy array"
     assert depth.ndim == 2, "Depth must be 2D"