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# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
# %% auto 0
__all__ = ['ategories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
# %% ../app.ipynb 3
import gradio as gr
# %% ../app.ipynb 6
def is_cat(x): return x[0].isupper()
# %% ../app.ipynb 9
ategories = ('Dog', 'Cat')
def classify_image(img):
pred, idx, probs = learn.predict(img)
print(map(float, probs))
return dict(zip(categories, map(float, probs)))
# %% ../app.ipynb 11
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.webp', 'cat.png', 'dunno.jpeg']
intf = gr.Interface(fn=classify_image,inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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