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import gradio as gr |
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import pathlib |
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from fastai.vision.all import * |
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import gradio as gr |
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learn = load_learner('BreedModel.pkl') |
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categories = ('Bull Terrier', 'Dobermann', 'German Shepherd') |
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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 = ['Dominique/domi.jpg', 'Dominique/domi2.jpg','Dominique/domi3.jpg'] |
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iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
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iface.launch() |
