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

categories = 'Dalle-2', 'Midjourney'

def classify_ai_art(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))


learn = load_learner('model.pkl')

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['midjourney.jpg', 'dalle2.jpg']

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