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from fastai.vision.all import * |
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import gradio as gr |
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import pathlib |
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def new_path(cls, *args, **kwargs): |
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cls = pathlib.WindowsPath |
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self = cls._from_parts(args) |
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if not self._flavour.is_supported: |
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raise NotImplementedError("cannot instantiate %r on your system" |
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% (cls.__name__,)) |
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return self |
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Path.__new__=new_path |
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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,idx,probs = learn.predict(img) |
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return dict(zip(categories, map(float, probs))) |
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image = gr.Image(shape=(192,192)) |
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label = gr.Label() |
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examples = ['dog.jpg', 'cat.jpg', 'dunno.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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