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

learn = load_learner('model.pkl')

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

def classify_image(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()

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