import fastbook
fastbook.setup_book()

from PIL import Image
import requests
import gradio as gr

from fastbook import *
from fastai.vision.widgets import *

path = Path()
path.ls(file_exts='.pkl')

learn_inf = load_learner(path/'export.pkl')

categories = ('grizzly', 'black', 'teddy')

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

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
#examples = ['bear.jpg']

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