app.py

__all__ = ['learner_faces', 'categories', 'classify_faces', 'image', 'label', 'examples', 'intf']

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


learner_attractiveness = load_learner('hotornot.pk1')
categories = ['hot', 'average', 'ugly']

def classify_attractiveness(img):
  prediction, index, probability = learner_attractiveness.predict(img)
  return dict(zip(categories, map(float, probability)))

intf = gr.Interface(fn=classify_attractiveness,
             inputs=gr.Image(shape=(192, 192)),
             outputs=gr.Label(),
             examples=['img01.jpg', 'img02.jpg', 'img03.jpg', 'img04.jpg', 'img05.jpg', 'img06.jpg', 'img07.jpg'])
intf.launch(inline=False)