fixed image params

app.py

@@ -12,7 +12,7 @@ def classify_image(img):
     pred,pred_idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
-image = gr.components.Image(shape=(224,224))
+image = gr.components.Image(type="pil", height=224, width=224)
 label = gr.components.Label(num_top_classes=3)
 examples = ['cat.jpg', 'dog.jpg', 'dunno.jpg']
 interpretation='default'