let TMmodel;

let label = "Identifying...";

​

function preload(){

  TMmodel = ml5.imageClassifier('https://teachablemachine.withgoogle.com/models/Jh4HQ3ll0/model.json');

}

​

​

function setup() {

  createCanvas(640, 480);

    video = createCapture(VIDEO);

  video.hide();

  classifyImages();

}

​

function classifyImages(){

  TMmodel.classify(video, handleResults);

}

​

function handleResults(error, result){

  if(error){

    console.error(error);

    return;

  }

  //uncomment the line below to see the details of the result of the classification process

  //in the concole below

  console.log(result);

​

  label = result[0].label;

  classifyImages();

}

​

function draw() {

  background(220);

  //draw the video (not mirrored)

  image(video, 0, 0);

  //draw the label at the bottom of the canvas

  textSize(36);

  fill(255, 0, 0);

  textAlign(CENTER, CENTER);

  text(label, width/2, height - 18);

}