Upload app.py

app.py

@@ -10,7 +10,7 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(im)
     return {label: float(prob) for (label,prob) in zip(labels,probs)}
 
-examples = [f"Image{n:02d}" for n in range(25)]
+examples = [f"Image{n:02d}.jpg" for n in range(25)]
 
 gr.Interface(fn=predict,
              inputs=gr.inputs.Image(shape=((512,512))),