clean up

app.py

@@ -5,16 +5,19 @@ learn = load_learner('cat.pkl')
 labels = learn.dls.vocab
 
 
-def predict(img):
+def classify_image(img):
     img = PILImage.create(img)
     pred, pred_idx, probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 
+images = gr.inputs.Image(shape=(300, 300))
+outputs = gr.outputs.Label(num_top_classes=3)
+
 examples = ['british-shorthair.jpg',
             'maine-coon.jpg', 'european-shorthair.jpg']
 
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(300, 300)),
-             outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch()
+interface = gr.Interface(fn=classify_image, inputs=images,
+                         outputs=outputs, examples=examples)
 
-iface.launch(inline=False)
+interface.launch(inline=False)