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

examples = ['bear.jpeg']

learn = load_learner('./model.pkl')

def classify_image(img):
  pred, pred_idx,probs = learn.predict(img)
  return {k: '{:.04f}'.format(v) for k, v in zip(learn.dls.vocab, map(float, probs))}

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