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__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'app', '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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def is_cat(x): 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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pred, idx, probs = learn.predict(img) |
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return dict(zip(categories, map(float, probs))) |
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image = gr.Image(shape = (192, 192)) |
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label = gr.Label() |
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examples = ["dog.jpg", "cat.jpg"] |
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app = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=examples) |
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app.launch(inline = False) |
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