Upload app.py
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app.py
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# Make sure we've got the latest version of fastai:
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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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