| import gradio as gr | |
| from huggingface_hub import from_pretrained_fastai | |
| repo_id = "triskuit/bears" | |
| learner = from_pretrained_fastai(repo_id) | |
| categories = ("black", "grizzly", "teddy") | |
| def classify_image(img): | |
| pred,idx,probs = learner.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| demo = gr.Interface(fn=classify_image, inputs="image", outputs="label") | |
| demo.launch() |