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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 3 | |
| learn = load_learner('export.pkl') | |
| # %% ../app.ipynb 5 | |
| categories = ('black', 'grizzly', 'teddy') | |
| def classify_image(im): | |
| pred, idx, probs = learn.predict(im) | |
| return dict(zip(categories, map(float, probs))) | |
| # %% ../app.ipynb 7 | |
| image = gr.Image(width=192, height=192) | |
| label = gr.Label() | |
| examples = ['images/grizzly.jpg', 'images/black.jpg', 'images/teddy.jpg', 'images/dunno.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) | |