Update app.py

app.py

@@ -24,9 +24,9 @@ torch.hub.download_url_to_file("https://github.com/pytorch/hub/raw/master/images
 def inference(input_image):
     preprocess = transforms.Compose([
         transforms.Resize(256),
-        transforms.CenterCrop(224),
+        #transforms.CenterCrop(224),
         transforms.ToTensor(),
-        transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
+        #transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
     ])
     input_tensor = preprocess(input_image)
     input_batch = input_tensor.unsqueeze(0) # create a mini-batch as expected by the model