# AUTOGENERATED! DO NOT EDIT! File to edit: bear_gradio_class_app.ipynb.
# import subprocess
# import sys

# def install(package):
#     subprocess.check_call([sys.executable, "-m", "pip", "install", package])
# install('fastai')
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']

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

temp = pathlib.PosixPath
pathlib.WindowsPath = pathlib.PosixPath

# %% bear_gradio_class_app.ipynb 2
learn = load_learner('bearclassification.pkl') # type: ignore

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

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

# %% bear_gradio_class_app.ipynb 6
image = gr.Image(height =192, width =192)
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)