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()