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


learn = load_learner('cats.pkl')

categories = ('siamese', 'british shorthair', 'ragdoll',
              'maine coon', 'european shorthair', 'persian')


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


image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['maine-coon.jpg', 'british.jpg', 'european.jpg']


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