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

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

# %% app.ipynb 2
from fastai.vision.all import *
import gradio as gr

def is_grizzly(x): return x[0].isupper()

# %% app.ipynb 3
learn = load_learner('export.pkl')

# %% app.ipynb 4
categories = ('black', 'grizzly', 'teddy')

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

# %% app.ipynb 5
image = gr.Image(shape=(224, 224))
label = gr.Label()
examples = [
    ['images/grizzly.png'],
    ['images/black.png'],
    ['images/teddy.png']
]

# %% app.ipynb 6
gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples).launch()