app.py

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

learn = load_learner("cats.pkl")
categories = learn.dls.vocab

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 = ['cat_siamese.jpg', 'cat_persian.jpg', 'cat_sphynx.jpg']

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