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Runtime error
| # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image'] | |
| # %% app.ipynb 1 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): return x[0].isupper() | |
| # %% app.ipynb 4 | |
| learn = load_learner('model.pkl') | |
| # %% app.ipynb 6 | |
| categories = learn.dls.vocab | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| # %% app.ipynb 8 | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ['cheese époisse.jpg', 'cheese camembert.jpg', 'cheese saint-nectaire.jpg', 'cheese raclette.jpg', | |
| 'cheese roquefort.jpg', 'cheese brocciu.jpg', 'cheese comté.jpg', "cheese mont d'or.jpg", 'cheese reblochon.webp', 'cheese brie.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) | |