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

learn = load_learner("pets.pkl")
categories = learn.vocab


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


image = gr.Image()
label = gr.Label(num_top_classes=5)
examples = [
    "Ragdoll.jpg",
    "Shiba_inu.jpg",
    "British_Shorthair.jpg",
]

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)

intf.launch()