exportscript notebook
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app.py
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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 = {'Grizzly bear','black bear','teddy bear'}
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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.inputs.Image(shape=(192, 192))
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label = gr.outputs.Label()
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Examples = ['teddybear.jpg','blackbear.jpg','grizzlybear.jpg']
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gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=Examples).launch()
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# AUTOGENERATED! DO NOT EDIT! File to edit: ../pickerfile.ipynb.
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# %% auto 0
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__all__ = ['learn', 'categories', 'image', 'label', 'Examples', 'classify_image']
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# %% ../pickerfile.ipynb 3
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from fastai.vision.all import *
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import gradio as gr
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# %% ../pickerfile.ipynb 4
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learn = load_learner("model.pkl")
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# %% ../pickerfile.ipynb 7
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categories = {'Grizzly bear','black bear','teddy bear'}
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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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# %% ../pickerfile.ipynb 9
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image = gr.inputs.Image(shape=(192, 192))
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label = gr.outputs.Label()
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Examples = ['teddybear.jpg','blackbear.jpg','grizzlybear.jpg']
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gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=Examples).launch()
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:461ac51609613b74fbae582c296517120776dbc1b1734605f0bf2883f3011521
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size 46964778
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