Update app.py

app.py

@@ -21,7 +21,7 @@ florence_processor = AutoProcessor.from_pretrained("microsoft/Florence-2-large",
 
 # Load a quick, highly accurate MiDaS model pipeline via torch hub
 midas = torch.hub.load("intel-isl/MiDaS", "MiDaS_small",trust_repo=True).to(device).eval()
-midas_transforms = torch.hub.load("intel-isl/MiDaS", "transforms")
+midas_transforms = torch.hub.load("intel-isl/MiDaS", "transforms",trust_repo=True)
 transform_depth = midas_transforms.flag_transform if hasattr(midas_transforms, 'flag_transform') else midas_transforms.dpt_transform