"Could not get context for WebGL version" 2. any fix you may integrate?: <!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Bird Singing Generator with ML</title>
  <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest"></script>
  <script>
  async function run() {
    // Initialize the machine learning model
    const model = tf.sequential();
    model.add(tf.layers.dense({ units: 100, inputShape: [1], activation: 'relu' }));
    model.add(tf.layers.dense({ units: 3 }));

    model.compile({
        loss: "meanSquaredError",
        optimizer: "sgd",
        metrics: ["mse"],
    });

    // Generate random training data for the model
    const inputs = tf.tensor2d(new Array(100).fill().map(() => [Math.random()]));
    const outputs = tf.tensor2d(new Array(100).fill().map(() => [Math.random(), Math.random(), Math.random()]));

    // Train the model
    await model.fit(inputs, outputs, { batchSize: 10, epochs: 50 });

    // Generate new parameters for the bird sound using the trained model
    function generateParameters() {
        const input = tf.tensor2d([Math.random()], [1, 1]);
        const [pitchFactor, rhythmFactor, noteDurationFactor] = model.predict(input).arraySync()[0];
        return { pitchFactor, rhythmFactor, noteDurationFactor };
    }

    const audioContext = new (window.AudioContext || window.webkitAudioContext)();

    function playOscillator(freq, startTime, duration) {
        const oscillator1 = audioContext.createOscillator();
        const oscillator2 = audioContext.createOscillator();
        const gainNode = audioContext.createGain();
        const filterNode = audioContext.createBiquadFilter();

        // Setup oscillators
        oscillator1.type = 'sine';
        oscillator1.frequency.setValueAtTime(freq, startTime);
        oscillator2.type = 'sine';
        oscillator2.frequency.setValueAtTime(freq * 1.01, startTime); // Slight detuning for richer sound

        // Filter settings
        filterNode.type = 'bandpass';
        filterNode.frequency.setValueAtTime(freq, startTime);
        filterNode.Q.setValueAtTime(15, startTime);

        // Setup gain (volume)
        gainNode.gain.setValueAtTime(0.5, startTime);
        gainNode.gain.setValueAtTime(0, startTime + duration);

        // Connect the nodes and start playing
        oscillator1.connect(filterNode);
        oscillator2.connect(filterNode);
        filterNode.connect(gainNode);
        gainNode.connect(audioContext.destination);
        oscillator1.start(startTime);
        oscillator1.stop(startTime + duration);
        oscillator2.start(startTime);
        oscillator2.stop(startTime + duration);
    }

    function playChickadeeCall() {
        const startTime = audioContext.currentTime;
        const { pitchFactor, rhythmFactor, noteDurationFactor } = generateParameters();

        // Play the 'chick' note
        playOscillator(
            4000 * pitchFactor,
            startTime,
            0.1 * rhythmFactor * noteDurationFactor
        );

        // Play the 'dee' notes
        for (let i = 1; i <= 3; i++) {
            playOscillator(
                2000 * pitchFactor,
                startTime + 0.15 * i * rhythmFactor,
                0.1 * noteDurationFactor
            );
        }
    }

    function loopChickadeeCall() {
        playChickadeeCall();
        setTimeout(loopChickadeeCall, Math.random() * 1000 + 500);
    }

    loopChickadeeCall();
}

run();
  </script>
</head>
<body>
  <h1>Bird Singing Generator with Machine Learning</h1>
</body>
</html>