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| # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'is_grizzly', 'classify_image'] | |
| # %% app.ipynb 2 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_grizzly(x): return x[0].isupper() | |
| # %% app.ipynb 3 | |
| learn = load_learner('export.pkl') | |
| # %% app.ipynb 4 | |
| categories = ('black', 'grizzly', 'teddy') | |
| def classify_image(img): | |
| pred,pred_idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| # %% app.ipynb 5 | |
| image = gr.Image(width=224, height=224) | |
| label = gr.Label() | |
| examples = [ | |
| ['images/grizzly.png'], | |
| ['images/black.png'], | |
| ['images/teddy.png'] | |
| ] | |
| # %% app.ipynb 6 | |
| gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples).launch() | |