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

learn = load_learner('export.pkl')

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

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

image= gr.Image()
label= gr.Label()
examples=['black1.jpg','grizzly1.jpg','teddy1.jpg']

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