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

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

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

# %% app.ipynb 2
learn = load_learner('snowboarder_skier.pkl')

# %% app.ipynb 3
categories = ['Skier', 'Snowboarder']

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

# %% app.ipynb 4
image = gr.Image(height = 224, width = 224)
label = gr.Label()
examples = ['skier.jpg', 'snowboarder.jpg']

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