Update app.py

app.py

@@ -8,8 +8,6 @@ labels = learn.dls.vocab
 
 def predict(img):
     img = PILImage.create(img)
-    size = (224, 224)
-    img = img.thumbnail(size, Image.ANTIALIAS)
     _pred, _pred_w_idx, probs = learn.predict(img)
     # gradio doesn't support tensors, so converting to float
     labels_probs = {labels[i]: float(probs[i]) for i, _ in enumerate(labels)}