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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, index, 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 = ['dog.jpg', 'cat.jpg', 'dunno.jpg'] |
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interface = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples) |
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interface.launch(inline = False) |
