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import warnings |
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from fastai.vision.all import * |
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import gradio as gr |
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warnings.simplefilter("ignore", category=UserWarning) |
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learn = load_learner('model.pkl') |
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warnings.resetwarnings() |
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categories = ('Orca', 'Estrela do mar') |
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def classify_image(img): |
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_, _, probs = learn.predict(img) |
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return dict(zip(categories, map(float, probs))) |
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image = gr.Image() |
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label = gr.Label() |
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examples = ['k_whale.jpg', 'starfish.jpg'] |
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
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intf.launch(inline=False) |