| |
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|
| |
| __all__ = ['learn', 'categories', 'Image', 'label', 'examples', 'interface', 'is_man', 'classify_image'] |
|
|
| |
| from fastai.vision.all import * |
| import gradio as gr |
|
|
| def is_man(x): return x[0].isupper() |
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| |
| learn = load_learner('sex.pkl') |
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| |
| categories = ("man", "girl") |
|
|
| def classify_image(img): |
| pred, idx, probs = learn.predict(img) |
| return dict(zip(categories, map(float,probs))) |
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|
| |
| Image = gr.Image() |
| label = gr.Label() |
| examples = ['girl1.jpeg', 'man1.jpeg'] |
|
|
| interface = gr.Interface( |
| fn=classify_image, |
| inputs=Image, |
| outputs=label, |
| examples=examples) |
|
|
| interface.launch() |
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|