Fixed

app.py

@@ -9,10 +9,10 @@ learn = load_learner('model.pkl')
 
 def classify_image(img):
     pred, idx, probs = learn.predict(img)
-    return dict(zip(categories, map(float, probs))
+    return dict(zip(categories, map(float, probs)))
 
 
-image = gr.inputs.Image(192, 192)
+image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
 examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']