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

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):
    image = image.reshape(1, -1)
    prediction = model.predict(image).tolist()[0]
    return {str(i): prediction[i] for i in range(10)}

im = gradio.inputs.Image(shape=(28, 28), image_mode='L', invert_colors=False, source="canvas")

iface = gr.Interface(
    recognize_digit, 
    im, 
    gradio.outputs.Label(num_top_classes=3),
    live=True,
    interpretation="default",
    capture_session=True,
)

iface.test_launch()

if __name__ == "__main__":
    iface.launch()