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


learn = load_learner('model.pkl')

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

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

examples = ['ted.jpeg']

iface = gr.Interface(fn=classify_image, inputs=gr.Image(type="pil"), outputs=gr.Label(num_top_classes=2), examples = examples)
iface.launch(inline=False)