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__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'demo', 'classify'] |
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from fastai.vision.all import * |
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import gradio as gr |
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learn = load_learner('export.pkl') |
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categories = ('ankylosaurus', 'brontosaurus', 'pterodactyl', 'trex', 'triceraptops') |
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def classify(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(width=512, height=512) |
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label = gr.Label(num_top_classes=3) |
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examples = ['ankylosaurus.jpg', 'images.jpeg'] |
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demo = gr.Interface(fn=classify, inputs=image, outputs=label, examples=examples) |
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demo.launch(inline=False) |
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