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

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

# %% public_chad_or_will.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% public_chad_or_will.ipynb 2
learn = load_learner('model.pkl')
learn.predict('chad.jpeg')

# %% public_chad_or_will.ipynb 3
options = "chad smith", "will ferrell"

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


# %% public_chad_or_will.ipynb 5
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['will.jpeg', 'chad.jpeg']

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