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# AUTOGENERATED! DO NOT EDIT! File to edit: gradio_model_app.ipynb.
# %% auto 0
__all__ = ['categories', 'examples', 'inft', 'is_cat', 'classify_image']
# %% gradio_model_app.ipynb 2
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
# %% gradio_model_app.ipynb 6
categories = ('Dog', 'Cat')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# %% gradio_model_app.ipynb 8
# image = gr.inputs.Image(shape=(192, 192))
# label = gr.outputs.Label()
# examples = ['dog.jpg', 'cat.jpg', 'dunno.png']
inft = gr.Interface(fn=classify_image,
inputs=gr.Image(shape=(192, 192)),
outputs=gr.Label())
inft.launch(inline=False)
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