updated app file

app.py

@@ -10,13 +10,17 @@ learn = load_learner('model.pkl')
 
 #|export
 categories = ('Dog', 'Cat')
+
 def classify_image(im):
   pred, idx, probs = learn.predict(im)
   return dict(zip(categories, map(float, probs)))
 
 #|export
-categories = ('Dog', 'Cat')
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs = image, outputs =label, examples = examples)
+intf.launch(inline=False)
+
 
-def classify_image(im):
-  pred, idx, probs = learn.predict(im)
-  return dict(zip(categories, map(float, probs)))