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

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(shape=(200, 200))
examples = ["grizzly.jpg"]

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