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

learn = load_learner("first_model.pkl")

categories = ["Hoshimachi Suisei", "Inui Toko"]


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


image = gr.inputs.Image(shape=(128, 128))
label = gr.outputs.Label()
examples = ["suiseicz.png", "tokocz.jpg"]

title = "Toko and Suisei classifier"

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