__all__ = ['is_grizzly','learn',
           'classify_image',
           'categories',
           'image',
           'label',
           'examples',
           'intf'
           ]

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

def is_grizzly(x):
    return x[0].isupper()

categories = ('grizzly','black','teddy')

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

learn = load_learner('model.pkl')

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['grizzly.jpg', 'black.jpg', 'teddy.jpg']

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