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app.py
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import gradio as gr
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# AUTOGENERATED! DO NOT EDIT! File to edit: ../model_test.ipynb.
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# %% auto 0
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__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
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# %% ../model_test.ipynb 1
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from fastai.vision.all import *
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import gradio as gr
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def is_cat(x):return x[0].isupper()
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# %% ../model_test.ipynb 3
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learn = load_learner('model.pkl')
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# %% ../model_test.ipynb 6
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categories = ('Dog', 'Cat')
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def classify_image(img):
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pred,pred_idx,probs = learn.predict(img)
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return dict(zip(categories, map(float, probs)))
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# %% ../model_test.ipynb 9
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image = gr.components.Image()
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label = gr.components.Label()
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examples = ['cat.jpeg', 'dog.jpg']
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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intf.launch(inline=False)
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