let predictedSound = "";

const modelJson = "https://teachablemachine.withgoogle.com/models/n702_a7ev/"

​

let x = 40, y = 40;

let n = 3, n2 = 3, n3 = 3;

let numSentences1 = 2, numSentences2 = 3, numSentences3 = 3;

let displayText = [""];

​

let markov, markov2, markov3;

let source1, source2, source3;

​

let moon, bakunawa, miniMoon;

​

let keywordDetected = false;

let counter = 0;

let startButton;

​

function preload() {

  moon = loadImage("moon.png");

  miniMoon = loadImage("miniMoon.png");

  bakunawa = loadImage("bakunawa.png");

​

  source1 = loadStrings("source1.txt");

  source2 = loadStrings("source2.txt");

  source3 = loadStrings("source3.txt");

}

​

function setup() {

  createCanvas(500, 500);

  startButton = createButton('Offer Prayer');

  startButton.position(180, 360);

  startButton.size(150, 60);

  startButton.style('background-color', 'black');

  startButton.style('color', 'white');

  startButton.style('font-size', '18px');

  startButton.mousePressed(startModel);

  textAlign(CENTER, CENTER);

  // create markov models

  markov = RiTa.markov(n);

  markov2 = RiTa.markov(n2);

  markov3 = RiTa.markov(n3);

​

  // load text into the models

  markov.addText(source1.join(" "));

  markov2.addText(source2.join(" "));

  markov3.addText(source3.join(" "));

}

​

function draw() {

  background(0);

  textFont('Courier New');

​

  if (!keywordDetected) {

    showIntroScreen();

  } else {

    generateMessageFromKeywords();

  }

}

​

function showIntroScreen() {

  fill(255);

  textSize(14);

  text('Speak aloud a prayer for the collective using one of these words:', 90 , 100, 320);

  textSize(30);

  textFont("Bungee Hairline");

  text('Love, Pain, Power', width / 2, 180); 

  text('Heaven, Earth, Creatures', width / 2, 240); 

  text('Instincts, Soul, Voice', width / 2, 300); 

}

​

function generateMessageFromKeywords() {

  if (predictedSound === "Moon") {

    background(231, 176, 255);

    displayText = markov3.generate(numSentences3);

    image(moon, 0, 0, 500, 500);

    text(displayText.join(" "), x, y, 420, 440);

  } else if (predictedSound === "miniMoon") {

    background(255, 242, 143);

    displayText = markov2.generate(numSentences2);

    image(miniMoon, 0, 0, 500, 500);

    text(displayText.join(" "), x, y, 420, 440);

  } else if (predictedSound === "Bakunawa") {

    background(255, 242, 143);

    displayText = markov.generate(numSentences1);

    image(bakunawa, 0, 0, 500, 500);

    text(displayText.join(" "), x, y, 420, 440);

  }

  counter += 1;

  if (counter > 600) {

    keywordDetected = false;

    counter = 0;

  }

}

​

function startModel() {

  console.log("Button works! Starting model initialization...");

​

  ml5.soundClassifier(modelJson, { probabilityThreshold: 0.75 }, function(err, classifierInstance) {

    if (err) {

      console.error("Error initializing classifier: ", err);

      return;

    }

​

    console.log("Classifier instance created.");

    classifier = classifierInstance;

​

    // Start classification and log results

    classifier.classify(gotResult); 

    console.log("Classifier started, awaiting results...");

    startButton.hide();  // Hide the button once the model starts

  });

}

​

// Log results coming in from the classification

function gotResult(error, results) {

  if (error) {

    console.error("Error during classification: ", error);

    return;

  }

​

  // Log the entire results array to see what's being detected

  console.log("Results received: ", results);

​

  if (results && results.length > 0) {

    predictedSound = results[0].label;  // Get the label of the most confident prediction

    let confidence = results[0].confidence;  // Get confidence level of prediction

​

    // Log the detected sound and its confidence level

    console.log("Detected sound: ", predictedSound, "with confidence: ", confidence);

​

    // Only proceed if confidence is high enough

    if (confidence > 0.75 && (predictedSound === "Moon" || predictedSound === "miniMoon" || predictedSound === "Bakunawa")) {

      keywordDetected = true;

      console.log("Keyword detected: ", predictedSound);  // Log which keyword was detected

    } else {

      console.log("No valid keyword detected or confidence too low.");

    }

  }

}

​