# AUTOGENERATED! DO NOT EDIT! File to edit: Bear Classifier (model uploaded).ipynb.

# %% auto 0
__all__ = ['model', 'categories', 'image', 'label', 'examples', 'intf', 'classify_images']

# %% Bear Classifier (model uploaded).ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% Bear Classifier (model uploaded).ipynb 3
model = load_learner('model.pkl')

# %% Bear Classifier (model uploaded).ipynb 5
categories = ("black", "grizzly", "teddy")

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



# %% Bear Classifier (model uploaded).ipynb 6
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['blackbear.jpg', 'bear.jpeg']

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