Update app.py

app.py

@@ -18,7 +18,7 @@ example_list = [["examples/" + example] for example in os.listdir("examples")]
 #     img_ = img_.add(torch.FloatTensor(MEAN).view(3, 1, 1)).detach().numpy()
 #     img_ = np.transpose(img_, (1, 2, 0))
 #     return img_ 
-inverse_transform = transforms.Compose([    transforms.Resize((64, 64)),transforms.Normalize(mean=[-1.0, -1.0, -1.0], std=[2.0, 2.0, 2.0]),
+inverse_transform = transforms.Compose([  transforms.Normalize(mean=[-1.0, -1.0, -1.0], std=[2.0, 2.0, 2.0]),
     transforms.ToPILImage()
 ])
 def predict(img):