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from fastai.vision.all import * |
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import gradio as gr |
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def is_bear(x): return x[0].isupper() |
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learn = load_learner("model.pkl") |
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categories = ("grizzly bears", "black bears", "teddy bears") |
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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.inputs.Image(shape=(192, 192)) |
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label = gr.outputs.Label() |
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examples =["black_teddy.jpg", "grizzly_bear.jpg", "black_bear.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) |
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