# |export
from fastai.vision.all import *
import gradio as gr

# |export
learn = load_learner('export.pkl')

# |export
categories = learn.dls.vocab

# |export


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

# |export


image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['naruto.jpg', 'ben.jpg', 'izuku.jpg']

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