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

# %% auto 0
__all__ = ['breeds', 'learn', 'examples', 'iface', 'predict']

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

# %% app.ipynb 2
breeds = [
    'English Springer Spaniel',
    'Cocker Spaniel',
    'American Water Spaniel',
    'Irish Water Spaniel',
    'Welsh Springer Spaniel',
]
learn = load_learner('springer.pkl')

# %% app.ipynb 3
def predict(img):
    p, idx, probs = learn.predict(img)
    return dict(zip(learn.dls.vocab, map(float, probs)))

examples = [str(i) for i in (Path('.')/'examples').iterdir()]
iface = gr.Interface(fn=predict, inputs=gr.Image(type='pil'), outputs="label", examples=examples)
iface.launch(inline=False)