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| # AUTOGENERATED! DO NOT EDIT! File to edit: ../../../../../Colab Notebooks/Ch2.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn_inf', 'categories', 'examples', 'demo', 'classify_image'] | |
| # %% ../../../../../Colab Notebooks/Ch2.ipynb 26 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # %% ../../../../../Colab Notebooks/Ch2.ipynb 27 | |
| learn_inf = load_learner('export.pkl') | |
| # %% ../../../../../Colab Notebooks/Ch2.ipynb 30 | |
| categories = learn_inf.dls.vocab | |
| # %% ../../../../../Colab Notebooks/Ch2.ipynb 31 | |
| def classify_image(img): | |
| learn_inf.predict(img) | |
| pred, idx, probs = learn_inf.predict(img) | |
| print(pred, idx, probs) | |
| return dict(zip(categories, map(float, probs))) | |
| # %% ../../../../../Colab Notebooks/Ch2.ipynb 33 | |
| examples=['tea.jpg', 'coffee.jpg'] | |
| demo = gr.Interface( | |
| fn=classify_image, | |
| inputs=gr.Image(), | |
| outputs=gr.Label(), | |
| examples=examples) | |
| demo.launch() | |