Update app.py

app.py

@@ -85,6 +85,7 @@ thick.value = debias(thick.value, "Heavy_Makeup", df, pinverse, device.value)
 
 def sample_model():
     unet.value, _, _, _, _ = load_models(device.value)
+    print(network)
     network.value = sample_weights(unet.value, proj.value, mean.value, std.value, v[:, :1000], device.value, factor = 1.00)
  
 @torch.no_grad()