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