let doggo;

let prediction = "(nothing yet)";

​

function preload() {

  doggo = loadImage('assets/doggo.jpg');

  classifier = ml5.imageClassifier('MobileNet');

}

​

function setup() {

  createCanvas(800, 600);

  classifier.classify(doggo, gotResult);

}

​

function draw() {

  background(220);

  image(doggo, 0, 0);

  textSize(48);

  text(prediction, 15, 520);

}

​

function gotResult(error, results) {

  print(results);

  prediction = results[0].label;

  classifier.classify(gotResult);

}