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dc1de53
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Parent(s):
2c0c92c
deploy to huggingface spaces
Browse files- app.py +24 -0
- cat.jpg +0 -0
- dog.jpg +0 -0
- hybrid.jpg +0 -0
- model.pkl +3 -0
- requirements.txt +1 -0
app.py
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__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'labels', 'examples', 'intf']
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from fastai.vision.all import *
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import gradio as gr
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# labelling function
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def is_cat(x): return x[0].isupper()
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learn = load_learner('model.pkl')
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# create categories and classifying function for HuggingFace Space
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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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# gradio wants a dictionary
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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 = ['dog.jpg', 'cat.jpg', 'hybrid.jpg']
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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.jpg
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dog.jpg
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hybrid.jpg
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a0b8910baa00a4b0d577c478292cf815877403fd8d7572e37ae55c138815911
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size 47065323
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requirements.txt
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fastai
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