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| |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image'] |
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| |
| from fastai.vision.all import * |
| 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): |
| pred, idx, probs = learn.predict(img) |
| return dict(zip(categories, map(float, probs))) |
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| |
| image = gr.Image(width="192px", height="192px") |
| label = gr.Label() |
| examples = ["dog.jpeg", "cat.jpeg", "dunno.jpg"] |
|
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| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| intf.launch(inline=False) |
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|