app.py

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

categories = ('Chinese', 'Korean')

learn = load_learner('model.pkl')

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

image = gr.Image()
label = gr.Label()
examples = ['Beijing_hot_pot.jpg', 'chinese_hot_pot.jpg', 'Korean_hot_pot.jpg']

demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, allow_flagging = "never")
demo.launch(inline=False)