Deals with No Image when working with user image

app.py

@@ -33,6 +33,9 @@ def generate_imgs_from_user(image,
                             model: EvalModel, baseline: BaselineModel,
                             physics: PhysicsWithGenerator, use_gen: bool,
                             metrics: List[Metric]):
+    if image is None:
+        return None, None, None, None, None, None, None, None
+
     # PIL image -> torch.Tensor
     x = transforms.ToTensor()(image).unsqueeze(0).to('cuda')