# Cell
__all__ = ['learn', 'categories', 'classify_image']


# Cell
from fastai.vision.all import *
import gradio as gr

# Cell
learn = load_learner("black_grizzly_teddy.pkl")

# Cell
categories = ('Black', 'Grizzly', 'Teddy')
def classify_image(img):
  pred, idx, probs = learn.predict(img)
  return dict(zip(categories, map(float, probs)))

# Cell
image = gr.components.Image(shape= (192, 192))
label = gr.components.Label()
examples = ['black.jpg', 'grizzly.jpg', 'teddy.jpg']
intf = gr.Interface(fn=classify_image,
                    inputs=image,
                    outputs=label,
                    examples=examples)

intf.launch(inline=False,
            # share=True
            )