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

learn = load_learner('model.pkl')
learn.remove_cb(ProgressCallback)

categories = ('Homelander', 'Omniman', 'Superman')

def classify_image(img):
    pred, index, prob = learn.predict(img)
    return dict(zip(categories, map(float, prob)))

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['homelander.jpg', 'omniman.jpg', 'superman.jpg']

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