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

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

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


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

# Load the model
model_path = 'model.pkl'

learn = load_learner(model_path)

# %% app.ipynb 7
categories = ('black', 'grizzly', 'teddy')

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

# %% app.ipynb 9
image = gr.Image()
label = gr.Label()
examples = ['Black.jpg', 'grizzly.jpg', 'teddy.jpg']

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