hehehehehe

app.py

@@ -19,8 +19,8 @@ def classify_image(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']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)

requirements.txt

@@ -1,2 +1,2 @@
 fastai
-gradio==3.50
+gradio