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

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

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

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

# %% app.ipynb 5
categories = ('black', 'grizzly', 'teddy')

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

# %% app.ipynb 7
# image = gr.Image(shape=(192,192))
# label = gr.outputs.Label()
examples =  ['grizzly.png', 'black.png', 'teddy.png']

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