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Browse files- app.py +13 -4
- black.jpg +0 -0
- grizzly.jpg +0 -0
- model.pkl +3 -0
- teddy.jpg +0 -0
app.py
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import gradio as gr
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return "Hello " + name + "!!"
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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 = ('black', 'grizzly', 'teddy')
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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 = ['grizzly.jpg', 'black.jpg', 'teddy.jpg']
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intf = gr.Interface(fn=classify_image, input=image, outputs=label, examples = examples)
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intf.launch(inline=False)
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black.jpg
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grizzly.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:cbbf7d4b96d3fd0f831186098782bfdeb4ae51dd972dda77dd29a6a6598dede6
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size 46969277
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teddy.jpg
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