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

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

# %% ../app.ipynb 3
from fastai.vision.all import *

import gradio as gr


# %% ../app.ipynb 6
model=load_learner('model.pkl')

# %% ../app.ipynb 8
categories = ('black', 'grizzly','teddy')

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

# %% ../app.ipynb 10
image= gr.inputs.Image(shape=(192, 192)) 
label= gr.outputs.Label() 
examples =['black.jpg',  'teddy.jpg']

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