Update app.py

app.py

@@ -15,13 +15,14 @@ learn = load_learner('model.pkl')
 categories = ('Dog', 'Cat')
 
 def classify_image(img):
-    pred,idx,probs = learn.predict(img)
+    im = PILImage.create(img)
+    im.thumbnail((192,192))
+    
+    pred,idx,probs = learn.predict(im)
     return dict(zip(categories, map(float,probs)))
 
 # Cell
-image = gr.inputs.Image(shape=(192, 192))
-label = gr.outputs.Label()
 examples = ['dog.jpeg', 'cat.jpeg', 'elephant.jpeg']
 
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf = gr.Interface(fn=classify_image, inputs="image", outputs="label", examples=examples)
 intf.launch(inline=False)