# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).

__all__ = ['classify_image', 'learner', 'categories']

# Cell
from fastai.vision.all import *
import gradio as gr

# Cell
learner = load_learner("model.pkl")

categories = "Formula 1","Indy","Nascar"

def classify_image(img):
    pred,_,probs = learner.predict(img)
    return dict(zip(categories, map(float, probs)))

# Cell
gr.Interface(
    fn=classify_image,
    inputs=gr.components.Image(shape=(192,192)),
    outputs=gr.components.Label(),
    examples=["formula-1.jpg", "indy.jpg", "nascar.jpg"],
).launch(inline=False)