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

learn = load_learner('model.pkl')
labels = learn.dls.vocab
def predict(image):
    image = PILImage.create(image)
    brand, idx, probs = learn.predict(image)
    return dict(zip(labels, map(float,probs)))

demo = gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label())
demo.launch()