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__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'demo'] |
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from fastai.vision.all import * |
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import gradio as gr |
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learn = load_learner('model.pkl') |
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categories = ('Oslo', 'Warszawa') |
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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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def greet(name, intensity): |
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return "Hello " * intensity + name + "!" |
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image = gr.Image() |
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label = gr.Label() |
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examples = ['oslo.jpeg', 'warszawa.jpg'] |
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demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples); |
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demo.launch() |