Update app.py

app.py

@@ -177,8 +177,12 @@ if uploaded_ct_file is not None:
     with tempfile.NamedTemporaryFile(delete=False, suffix=".dcm") as temp_file:
         temp_file.write(uploaded_ct_file.getvalue())
 
-#         # Apply evaluation transforms to the DICOM image for model prediction
-#         image_tensor = eval_transforms(temp_file.name).unsqueeze(0).to(device)
+        print(tempfile.name)
+
+        # Apply evaluation transforms to the DICOM image for model prediction
+        image_tensor = eval_transforms(temp_file.name).unsqueeze(0).to(device)
+
+        print(image_tensor)
 
 #         # Predict
 #         with torch.no_grad():