Update app.py

app.py

@@ -11,6 +11,6 @@ labels = learner.dls.vocab
 def predict(img):
     #img = PILImage.create(img)
     pred,pred_idx,probs = learner.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=4),examples=["ronaldo_(67).jpg","Sharapova_ (68).jpg"]).launch(share=False)