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averageandyyy
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0921dad
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Parent(s):
3514553
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Browse files- .gitattributes +1 -0
- app.py +29 -0
- bear.jpeg +0 -0
- blackbear.jpg +0 -0
- model.pkl +3 -0
- requirements.txt +1 -0
.gitattributes
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@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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model.pkl filter=lfs diff=lfs merge=lfs -text
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app.py
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# AUTOGENERATED! DO NOT EDIT! File to edit: Bear Classifier (model uploaded).ipynb.
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# %% auto 0
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__all__ = ['model', 'categories', 'image', 'label', 'examples', 'intf', 'classify_images']
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# %% Bear Classifier (model uploaded).ipynb 1
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from fastai.vision.all import *
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import gradio as gr
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# %% Bear Classifier (model uploaded).ipynb 3
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model = load_learner('model.pkl')
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# %% Bear Classifier (model uploaded).ipynb 5
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categories = ("black", "grizzly", "teddy")
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def classify_images(img):
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pred,idx,probs = model.predict(img)
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return dict(zip(categories, map(float,probs)))
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classify_images(im)
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# %% Bear Classifier (model uploaded).ipynb 6
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image = gr.inputs.Image(shape=(192, 192))
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label = gr.outputs.Label()
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examples = ['blackbear.jpg', 'bear.jpeg']
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intf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
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intf.launch(inline=False)
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bear.jpeg
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blackbear.jpg
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea74d3db0b48cc44dcc2b3135771f1b8df36417658c8132d8f9140c9bc34227f
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size 46961487
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requirements.txt
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fastai
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