import gradio as gr
from fastai.vision.widgets import *
from fastbook import *

learn = load_learner(r"fastbook/export.pkl")

categories = ('Grizzly','Black','Teddy')

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

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['fastbook/bears/black/0d147856-6c48-449c-80a1-8ea58587d207.jpg']


def greet(name):
    return "Hello " + name + "!!"

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