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Browse files- app.py +28 -0
- food_model.pkl +3 -0
- requirements.txt +3 -0
- steak.jpg +0 -0
app.py
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# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).
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__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
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# Cell
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from fastai.vision.all import *
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import gradio as gr
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import timm
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# Cell
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learn = load_learner('food_model.pkl')
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# Cell
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categories = learn.dls.vocab
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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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# Cell
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image = gr.inputs.Image(shape=(192, 192))
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label = gr.outputs.Label()
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examples = ['steak.jpg', ]
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# Cell
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples,
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title="Food Classifier", description="Trained on only URLs.FOODS image set. Provide an image or select from one below.")
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intf.launch()
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food_model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:50f9d9431171e2b6ae826aba85126852263aea09492ea80574de2e0bcf25a9ba
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size 89450226
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requirements.txt
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torch <1.12
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fastai>2.6.1
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timm
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steak.jpg
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