app.py

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

learn = load_learner('model.pkl')
categories = ('Mondstadt', 'Liyue', 'Inazuma', 'Sumeru')

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

image = gr.inputs.Image(shape=(128,128))
label = gr.outputs.Label()

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