let classifier;

//Model URL

let imageModelURL = 'https://teachablemachine.withgoogle.com/models/y51s-2M-i/';

​

//video

let video;

let flippedvideo

//store classification

let label= "";

let conf;

​

let vid1

let vid2

//load the model

 function preload() {

    classifier = ml5.imageClassifier(imageModelURL + 'model.json');

  }

​

​

function setup() {

  createCanvas(400, 400);

  //create the videos

  vid1 = createVideo("vid1.mp4")

  vid1.hide()

  vid2 = createVideo("vid2.mp4")

  vid2.hide()

  video = createCapture(VIDEO);

  video.size(video.width, video.height);

  video.hide();

  flippedVideo = video

    // Start classifying

  classifyVideo();

}

​

function classifyVideo() {

    //flippedVideo = ml5.flipImage(video)

    classifier.classify(flippedVideo, gotResult);

    //flippedVideo.remove();

​

  }

​

function gotResult(error, results) {

    // If there is an error

    if (error) {

      console.error(error);

      return;

    }

  label = results[0].label;

  conf = results[0].confidence

  // console.log(conf)

  // console.log(results[0]);

  // Classify again!

  classifyVideo();

}

​

function draw() {

  background(200)

  // image(video,0,0)

  showvideo()

}

​

function showvideo(){

  if (conf > 0.7) {

    if (label == "happy") {

​

      image(vid1, 0, 0)

    }

    if (label == "neutral") {

      image(vid2, 0, 0)

​

  }

}

}