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

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

def is_can_dollar_bill(x): return x[0].issupper()

#cell
learn = load_learner('model.pkl')

# cell

categories = ('Canadian_dollar', 'American_dollar')

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


#cell
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['dollar_bill.jpg','canadian_bill.jpg']

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