import tensorflow as tf
import gradio
import os
from tensorflow.keras.layers import *
import gradio as gr
from urllib.request import urlretrieve


urlretrieve("https://gr-models.s3-us-west-2.amazonaws.com/mnist-model.h5", "mnist-model.h5")
model = tf.keras.models.load_model("mnist-model.h5")


def recognize_digit(image):
    prediction = model.predict(image).tolist()[0]
    return {str(i): prediction[i] for i in range(10)}


gr.Interface(
    recognize_digit, 
    gradio.inputs.Sketchpad(flatten=True), 
    gradio.outputs.Label(num_top_classes=3),
    live=True,
    capture_session=True,
).launch()