# AUTOGENERATED! DO NOT EDIT! File to edit: Lesson02.ipynb.

# %% auto 0
__all__ = ['learn', 'categories', 'title', 'description', 'image', 'label', 'examples', 'intf', 'classify_image']

# %% Lesson02.ipynb 14
from fastai.vision.all import *
import gradio as gr

learn = load_learner('model.pkl')

categories = ('black', 'grizzly', 'panda', 'sloth', 'teddy')

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

title = "Bear discriminator"
description = "Identify different types of bears with fastai. Created as a demo for Gradio and HuggingFace Spaces."

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['grizzly.jpg', 'black.jpg']

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