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

learn = load_learner('model.pkl')

categories = ('playing', 'pokemon', 'yugioh')

def classify_image(photo):
    card_type,_,probs = learn.predict(photo)
    return dict(zip(categories, map(float, probs)))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['king.jpg', 'yugi.jpg', 'pikachu.jpg']

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