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| __all__ = ['learner_faces', 'categories', 'classify_faces', 'image', 'label', 'examples', 'intf'] | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| learner_attractiveness = load_learner('hotornot.pk1') | |
| categories = ['hot', 'average', 'ugly'] | |
| def classify_attractiveness(img): | |
| prediction, index, probability = learner_attractiveness.predict(img) | |
| return dict(zip(categories, map(float, probability))) | |
| intf = gr.Interface(fn=classify_attractiveness, | |
| inputs=gr.Image(shape=(192, 192)), | |
| outputs=gr.Label(), | |
| examples=['img01.jpg', 'img02.jpg', 'img03.jpg', 'img04.jpg', 'img05.jpg', 'img06.jpg', 'img07.jpeg', 'img08.jpg', 'img09.jpg', 'img10.jpg', 'img11.jpg', 'img12.jpg', 'img13.jpg', 'img14.jpg']) | |
| intf.launch(inline=False) | |