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

learn = load_learner('model.pkl')

categories = ('F1', 'indy')

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


image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['F1.jpg', 'indy.jpg', 'rally.jpg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)