| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner('cat.pkl') | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred, pred_idx, probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| examples = ['british-shorthair.jpg', | |
| 'maine-coon.jpg', 'european-shorthair.jpg'] | |
| gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(300, 300)), | |
| outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch() | |
| iface.launch(inline=False) | |