let myVoice;

let myClassifier;

let myResults = [{label: ''}];

​

function setup() {

  createCanvas(600, 420);

  myVideo = createCapture(VIDEO);

  myVideo.hide();

  myVoice = new p5.Speech();

  myClassifier = ml5.imageClassifier('MobileNet', modelReady);

  textSize(60);

  fill(200, 150, 150);

  textAlign(CENTER);

}

​

function modelReady() {

  print('Model loaded');

  myClassifier.classify(myVideo, gotResults);

}

​

function gotResults(error, results) {

  if (error) {

    print(error);

    return;

  }

  myResults = results;

  const mySentence = "I see " + myResults[0].label;

  myVoice.speak(mySentence);

​

  myClassifier.classify(myVideo, gotResults);

}

​

function draw() {

  image(myVideo, 0, 0, width, height);

  text(myResults[0].label, width/2, height/2);

}