# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.

# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']

# %% app.ipynb 3
learn = load_learner("model.pkl")

# %% app.ipynb 6
categories = ("Dog", "Cat")

def classify_image(img):
    _, _, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

# %% app.ipynb 8
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ["dog.jpg", "cat.jpg", "dunno.jpg"]

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)