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| # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image'] | |
| # %% app.ipynb 1 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # %% app.ipynb 2 | |
| learn = load_learner('snowboarder_skier.pkl') | |
| # %% app.ipynb 3 | |
| categories = ['Skier', 'Snowboarder'] | |
| def classify_image(img): | |
| pred, pred_idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| # %% app.ipynb 4 | |
| image = gr.Image(height = 224, width = 224) | |
| label = gr.Label() | |
| examples = ['skier.jpg', 'snowboarder.jpg'] | |
| intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples) | |
| intf.launch(inline=False) | |