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| # AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'get_y', 'classify_image'] | |
| # %% ../app.ipynb 1 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # %% ../app.ipynb 3 | |
| # Copied from https://n90l9ahmyv.clg07azjl.paperspacegradient.com/lab/tree/bear_multicat.ipynb | |
| # from parent_label | |
| def get_y(o): | |
| parent_name = Path(o).parent.name | |
| if parent_name in bear_types: | |
| return [parent_name] | |
| return [] | |
| # %% ../app.ipynb 4 | |
| learn = load_learner('Finley_multicat.pkl') #'export.pkl') | |
| # %% ../app.ipynb 6 | |
| categories = ('Finley', 'bird') | |
| def classify_image(im): | |
| pred, idx, probs = learn.predict(im) | |
| return dict(zip(categories, map(float, probs))) | |
| # %% ../app.ipynb 8 | |
| image = gr.Image(width=192, height=192) | |
| label = gr.Label() | |
| examples = ['images/Finley.jpeg', 'images/bird.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) | |