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# AUTOGENERATED! DO NOT EDIT! File to edit: ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 10
!pip install -q gradio
import gradio as gr
# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 12
learn = load_learner('pets.pkl')
# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 14
categories = ('Dog', 'Cat')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
classify_image(im)
# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 15
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['dog.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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