let label = "waiting...";

let classifier;

​

let awaySound;

let sleepSound;

​

​

// STEP 1: Load the model!

function preload() {

  classifier = ml5.imageClassifier('https://teachablemachine.withgoogle.com/models/');

  soundFormats('mp3', 'ogg');

  awaySound = loadSound('assets/doorbell');

  sleepSound = loadSound('')

}

​

​

function setup() {

  createCanvas(640, 520);

  // Create the video

  video = createCapture(VIDEO);

  video.hide();

  // STEP 2: Start classifying

  classifyVideo();

}

​

// STEP 2 classify the videeo!

function classifyVideo() {

  classifier.classify(video, gotResults);

}

​

function draw() {

  background(0);

​

  // Draw the video

  image(video, 0, 0);

​

  // STEP 4: Draw the label

  textSize(32);

  textAlign(CENTER, CENTER);

  fill(255);

  text(label, width / 2, height - 16);

​

  // Pick an emoji, the "default" is train

  //Change to text

  let emoji = "🙂";

  if (label == "Sleeping") {

    emoji = "😴";

    sleepSound.play();

  } else if (label == "Away") {

    emoji = "💨";

    awaySound.play();

  }

​

  // Draw the emoji

  textSize(256);

  text(emoji, width / 2, height / 2);

}

​

// STEP 3: Get the classification!

function gotResults(error, results) {

  // Something went wrong!

  if (error) {

    console.error(error);

    return;

  }

  // Store the label and classify again!

  label = results[0].label;

  classifyVideo();

}