printing url

app.py

@@ -238,12 +238,12 @@ def predict_and_analyze(model_name, num_channels, dim, input_channel, image):
                                     depth_mult=hparams.depth_mult,)
     
     model_url = cached_download(hf_hub_url(model_loading_name, filename="pytorch_model.bin"))
+    print(model_url)
     
     loaded = torch.load(model_url, map_location='cpu')
     print(loaded)
     
     model.load_state_dict(loaded)
-    
     print(model)
     
     # model = EfficientNetPreTrained(config)