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

# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', '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 bear", "grizzly bear", "teddy bear")

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

# %% app.ipynb 7
image = gr.components.Image(height=192, width=192)
label = gr.components.Label()
examples = ['ted.png', 'black.jpg', 'grizz.jpg']

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