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


learn = load_learner('cat.pkl')

categories = ('british shorthair', 'maine coon', 'european shorthair')


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


image = gr.inputs.Image(shape=(200, 200))
label = gr.outputs.Label()
examples = ['british-shorthair.jpg',
            'maine-coon.jpg', 'european-shorthair.jpg']


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