update app.py

app.py

@@ -8,12 +8,14 @@ learn = load_learner('model.pkl')
 categories = learn.dls.vocab
 
 def classify_image(inp):
-    pred,pred_idx,probs = learn.predict(inp)
+    pred, pred_idx, probs = learn.predict(inp)
     return dict(zip(categories, map(float, probs)))
 
-    image = gr.inputs.Image(shape=(128,128))
+image = gr.inputs.Image(shape=(128, 128))
 label = gr.outputs.Label(num_top_classes=3)
-examples = ['teddy_1.jpg', 'grizzly_1.jpg','black_bear.jpg']
+examples = ['teddy_1.jpg', 'grizzly_1.jpg', 'black_bear.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title='Bear Classifier', description='An AI that identifies bears')
-intf.launch()
+
+if __name__ == '__main__':
+    intf.launch()