Update app.py

app.py

@@ -44,7 +44,7 @@ moge_model = MoGeModel.from_pretrained("Ruicheng/moge-vitl").to(device)
 
 def depth2uint16(depth):
     return depth * torch.iinfo(torch.uint16).max / 10.0 # threshold is in m, convert to uint16 value
-
+#
 def save_tensor_as_png(tensor: torch.Tensor, path: str, dtype: torch.dtype | None = None):
     if dtype is None:
         dtype = tensor.dtype