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import gradio as gr |
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from fastai.vision.all import * |
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learn = load_learner('cats.pkl') |
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categories = ('siamese', 'british shorthair', 'ragdoll', |
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'maine coon', 'european shorthair', 'persian') |
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def classify_image(img): |
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pred, idx, probs = learn.predict(img) |
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return dict(zip(categories, map(float, probs))) |
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image = gr.inputs.Image(shape=(192, 192)) |
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label = gr.outputs.Label() |
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examples = ['maine-coon.jpg', 'british.jpg', 'european.jpg'] |
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iface = gr.Interface(fn=classify_image, inputs=image, |
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outputs=label, examples=examples) |
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iface.launch() |
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