let video; 

​

function preload() {

  classifier = ml5.imageClassifier('https://teachablemachine.withgoogle.com/models/45u3zAyqK/model.json', () => {

    console.log('model loaded');

  });

  video = createCapture(VIDEO)

  video.hide();

}

​

​

function setup() {

  createCanvas(400, 400);

  // frameRate(1);

  textSize(36);

  fill(255);

}

​

function draw() {

  image(video, 0, 0);

  let results = classifier.classify(video.get())

  results.then(p => {

    let choice = p[0];

    if (choice.confidence > 0.95) {

      text(choice.label, width/2, height-100);

    } 

    // if (crunch)

  });

}