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| __all__ = ['learn', 'categories', 'image', 'label', 'Examples', 'classify_image'] |
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| from fastai.vision.all import * |
| import gradio as gr |
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| learn = load_learner("model.pkl") |
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| categories = {'teddy bear','black bear','grizzly bear'} |
| def classify_image(img): |
| pred,idx,probs = learn.predict(img) |
| return dict(zip(categories, map(float,probs))) |
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| image = gr.Image() |
| label = gr.Label() |
| Examples = ['teddybear.jpg','blackbear.jpg','grizzlybear.jpg'] |
| gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=Examples).launch() |
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