import gradio as gr
import fastbook
fastbook.setup_book()
from fastbook import *

course_path = Path()
learn_inf = load_learner(course_path/'bears_classifier_001.pkl')


categories = ('black', 'grizzly', 'teddy')
def classify_image(im):
  pred,idx,probs = learn_inf.predict(im)
  return dict(zip(categories,map(float, probs)))

image = gr.Image()
label = gr.Label()
examples = [course_path/"inpiedi.png", course_path/"greezly.png", course_path/"teddy.png"]

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