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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-monet-picasso.pkl') |
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categories = ('Monet', 'Picasso') |
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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 = ['monet-image.jpeg', 'picasso-image.jpg', 'monet-style.jpg', 'renoir.jpeg', 'fake-picasso_art_forgery.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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