| # AUTOGENERATED! DO NOT EDIT! File to edit: ../test_hugging_face.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'iface', 'is_cat', 'classify_image'] | |
| # %% ../test_hugging_face.ipynb 2 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(): return x[0].isupper() | |
| # %% ../test_hugging_face.ipynb 4 | |
| learn = load_learner('model.pkl') | |
| # %% ../test_hugging_face.ipynb 6 | |
| categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred, id, prob = learn.predict(img) | |
| return dict(zip(categories, map(float, prob))) | |
| # %% ../test_hugging_face.ipynb 8 | |
| image = gr.components.Image(width=192, height=192) | |
| label = gr.components.Label() | |
| examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg'] | |
| iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| iface.launch(inline=False) | |