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

learn = load_learner("horh.pkl")

categories = ("Hiroshige", "Hokusai")

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

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