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__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image'] |
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from fastai.vision.all import * |
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import gradio as gr |
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from pathlib import Path |
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def is_cat(x) -> bool: |
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return x[0].isupper() |
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learn = load_learner("model.pkl") |
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categories = ("Dog", "Cat") |
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def classify_image(img): |
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_, _, probs = learn.predict(img) |
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return dict(zip(categories, [float(p) for p in 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 = [str(x) for x in Path("examples").iterdir()] |
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
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intf.launch(inline=True) |
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