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from fastai.vision.all import * |
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import gradio as gr |
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learn = load_learner('ice_cream_flavors.pkl') |
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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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image = gr.inputs.Image(shape=(192,192)) |
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label = gr.components.Label() |
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examples = ['berry.jpg', 'chocolate.jpg', 'mint_choc.jpg', 'vanilla_soft.jpg'] |
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, |
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title = 'Ice cream flavor classifier') |
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intf.launch(inline=False) |