Adicionando os arquivos necessários
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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('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 = ['cat.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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intf.launch()
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cat.jpg
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:865e599d6bbe76122b2ae3bc760e07c7ca36984eae48e485576b54302b1b0ac3
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size 114793185
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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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