udpate
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app.ipynb
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app.py
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import gradio as gr
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def greet(name):
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return "Hello " + name + "!!"
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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
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# %% auto 0
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__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
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# %% app.ipynb 1
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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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# %% app.ipynb 3
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learn = load_learner('model.pkl')
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# %% app.ipynb 5
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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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# %% app.ipynb 7
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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.webp', 'cat.webp']
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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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cat.webp
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dog.webp
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f6dc5af0d9cd64110ff000ab8570c1b47ac9aa53ebe026020f06a04d70c49a8
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size 47061419
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