music_rnn.initialize();

​

rnn_steps = 40;

rnn_temperature = 1.5;

​

function setup() {

  createCanvas(400, 400);

  //player = new mm.Player();

  //player.start(TWINKLE_TWINKLE);

   //player.stop();

  rnnPlayer = new mm.Player();

​

  play();

}

​

function draw() {

  background(220);

​

}

​

ORIGINAL_TWINKLE_TWINKLE = {

  notes: [

    {pitch: 60, startTime: 0.0, endTime: 0.5},

    {pitch: 60, startTime: 0.5, endTime: 1.0},

    {pitch: 67, startTime: 1.0, endTime: 1.5},

    {pitch: 67, startTime: 1.5, endTime: 2.0},

    {pitch: 69, startTime: 2.0, endTime: 2.5},

    {pitch: 69, startTime: 2.5, endTime: 3.0},

    {pitch: 67, startTime: 3.0, endTime: 4.0},

    {pitch: 65, startTime: 4.0, endTime: 4.5},

    {pitch: 65, startTime: 4.5, endTime: 5.0},

    {pitch: 64, startTime: 5.0, endTime: 5.5},

    {pitch: 64, startTime: 5.5, endTime: 6.0},

    {pitch: 62, startTime: 6.0, endTime: 6.5},

    {pitch: 62, startTime: 6.5, endTime: 7.0},

    {pitch: 60, startTime: 7.0, endTime: 8.0},  

  ],

  totalTime: 8

};

​

​

​

function play() {

  if (rnnPlayer.isPlaying()) {

    rnnPlayer.stop();

    return;

  }

  // The model expects a quantized sequence, and ours was unquantized:

  const qns = mm.sequences.quantizeNoteSequence(ORIGINAL_TWINKLE_TWINKLE, 4);

  music_rnn

  .continueSequence(qns, rnn_steps, rnn_temperature)

  .then((sample) => rnnPlayer.start(sample));

}