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

learn = load_learner("/Users/rs/dl-prep/fastbook/export.pkl")

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

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

image = gr.Image(height=192,width=192)
label = gr.Label()
examples = ['/Users/rs/dl-prep/fastbook/bears/black/0b439e6e-4808-4e98-aa07-9090d3fc2237.jpg', "/Users/rs/dl-prep/fastbook/bears/black/0d147856-6c48-449c-80a1-8ea58587d207.jpg","/Users/rs/dl-prep/fastbook/bears/teddy/0e6b5384-bff6-4ee2-a7bf-77c9c566a4dc.jpg"]


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

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