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

learn = load_learner("first_model.pkl")


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


image = gr.inputs.Image(shape=(100, 100))
label = gr.outputs.Label()
examples = ["suiseicz.png", "tokocz.jpg"]


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