# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).

__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'example', 'intf']

# Cell

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

# Cell
learn = load_learner('model.pkl')

# Cell

categories = learn.dls.vocab


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

# Cell

image = gr.components.Image(shape=(224, 224))
label = gr.components.Label()
examples = ['1.jpg', '2.jpg', '3.jpg']

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