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

learn = load_learner('aiornot_model.pkl')

categories = ("AI", "Natural")
def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return  dict(zip(categories, map(float,probs)))

image = gr.Image()
label = gr.Label()
gr.Interface(fn=classify_image, inputs=image, outputs=label).launch(share=True)