Update app.py

app.py

@@ -6,19 +6,16 @@ import gradio as gr
 
 def is_cat(x): return x[0].isupper()
 
-# Cell
 learn = load_learner('model.pkl')
 
-# Cell
 categories = ('Dog', 'Cat')
 
 def classify_image(img):
-    pred,idx,probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
 
-# Cell
-image = gr.inputs.Image(shape=(192, 192))
-label = gr.outputs.Label()
+image = gr.Image(shape=(192, 192))
+label = gr.Label()
 examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)