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

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

def get_y(r):
    number = ''.join(filter(str.isdigit, str(r)))
    return train_y[int(number)]

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

learn = load_learner('model.pkl')

categories = ('0','1','2','3','4','5','6','7','8','9')

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return pred

image = gr.inputs.Image(shape=(28,28))
label = gr.outputs.Label()
examples = ['Number_3.png', 'Number_5.png']

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