| # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'examples', 'intf', 'classify_image'] | |
| # %% app.ipynb 1 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # %% app.ipynb 3 | |
| learn = load_learner('model.pkl') | |
| # %% app.ipynb 5 | |
| categories = ('black', 'grizzly', 'teddy') | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| # %% app.ipynb 7 | |
| # image = gr.Image(shape=(192,192)) | |
| # label = gr.outputs.Label() | |
| examples = ['grizzly.png', 'black.png', 'teddy.png'] | |
| intf = gr.Interface(fn=classify_image, inputs="image", outputs="label", examples=examples) | |
| intf.launch(inline=False) | |