Update app.py

app.py

@@ -7,6 +7,9 @@ labels = learn.dls.vocab
 
 @spaces.GPU
 def predict(img):
+    # Wrap the incoming PIL image as a fastai PILImage so the model's
+    # item/batch transforms (which turn it into a tensor) actually fire.
+    img = PILImage.create(img)
     pred, pred_idx, probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}