Update app.py

app.py

@@ -36,11 +36,7 @@ with open("list.dat", 'rb') as f:
 model = load_learner("model.pkl")
 
 def predict(img):
-    logging.warning(f"{type(img)}")
-    img = ToTensor()(img)
-    img.permute(2, 0, 1)
-    img = img.reshape((1, *(img.shape))).type(torch.uint8)
-    logging.warning(f"{img.shape}")
+    logging.warning(f"{img}")
     pred, idx, probs = model.predict(img)
     logging.debug(f"{type(probs)}")
     logging.debug(f"{type(probs[0])}")