| __all__ = ['learner_bears', 'categories', 'classify_bears', 'image', 'label', 'examples', 'intf'] | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| learner_bears = load_learner('bears.pk1') | |
| categories = ['black bear', 'grizzly bear', 'teddy bear'] | |
| def classify_bears(img): | |
| prediction, index, probability = learner_bears.predict(img) | |
| return dict(zip(categories, map(float, probability))) | |
| intf = gr.Interface(fn=classify_bears, | |
| inputs=gr.Image(shape=(192, 192)), | |
| outputs=gr.Label(), | |
| examples=['grizzly_bear.jpeg', 'black_bear.jpeg', 'teddy_bear.jpeg', 'bear01.jpg', 'bear06.jpg', 'bear03.jpg', 'bear05.jpg', 'bear04.jpg', 'bear02.jpg', 'not_sure.jpeg']) | |
| intf.launch(inline=False) | |