| # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learner', 'labels', 'examples', 'predict'] | |
| # %% app.ipynb 1 | |
| from fastai.vision.all import * | |
| # %% app.ipynb 2 | |
| learner = load_learner('export.pkl') | |
| # %% app.ipynb 5 | |
| labels = learner.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred,pred_idx,probs = learner.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| # %% app.ipynb 6 | |
| examples = ['dog.jpeg', 'cat.jpeg'] | |
| import gradio as gr | |
| gr.Interface(fn=predict, | |
| inputs=gr.inputs.Image(shape=(512, 512)), | |
| outputs=gr.outputs.Label(num_top_classes=3), | |
| examples=examples).launch() | |