| # AUTOGENERATED! DO NOT EDIT! File to edit: gradio_model_app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['categories', 'examples', 'inft', 'is_cat', 'classify_image'] | |
| # %% gradio_model_app.ipynb 2 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): return x[0].isupper() | |
| # %% gradio_model_app.ipynb 6 | |
| categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| # %% gradio_model_app.ipynb 8 | |
| # image = gr.inputs.Image(shape=(192, 192)) | |
| # label = gr.outputs.Label() | |
| examples = ['dog.jpg', 'cat.jpg', 'dunno.png'] | |
| inft = gr.Interface(fn=classify_image, | |
| inputs=gr.Image(shape=(192, 192)), | |
| outputs=gr.Label(), | |
| examples=examples) | |
| inft.launch(inline=False) | |