Update app.py

app.py

@@ -21,7 +21,7 @@ model = model.cpu()
 model.eval()
 
 def transform_image(image):
-   my_transforms = transforms.Compose([transforms.ToTensor(), transforms.Normalzie([0.485, 0.456, 0.406],[0.229, 0.224, 0.225])])
+   my_transforms = transforms.Compose([transforms.ToTensor(), transforms.Normalize([0.485, 0.456, 0.406],[0.229, 0.224, 0.225])])
    return my_transforms(image).unsqueeze(0).to(device)
 
 def predict(img):