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<!DOCTYPE html>
<html lang="id">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>AI Pose Recognition with Audio</title>
    <style>
        body {
            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
            text-align: center;
            background-color: #1a1a1a;
            color: white;
            padding: 20px;
        }
        h2 { color: #00d4ff; }
        #canvas-container {
            position: relative;
            display: inline-block;
            border: 5px solid #333;
            border-radius: 15px;
            overflow: hidden;
            background: #000;
        }
        #label-container {
            margin-top: 20px;
            display: flex;
            justify-content: center;
            gap: 15px;
        }
        #label-container div {
            background: #333;
            padding: 10px 20px;
            border-radius: 8px;
            font-size: 18px;
            min-width: 120px;
        }
        button {
            padding: 15px 35px;
            font-size: 18px;
            font-weight: bold;
            cursor: pointer;
            background: linear-gradient(45deg, #00d4ff, #0056b3);
            color: white;
            border: none;
            border-radius: 50px;
            transition: 0.3s;
            margin-bottom: 20px;
            box-shadow: 0 4px 15px rgba(0, 212, 255, 0.3);
        }
        button:hover {
            transform: scale(1.05);
            box-shadow: 0 6px 20px rgba(0, 212, 255, 0.5);
        }
        .active-pose {
            border: 2px solid #00d4ff !important;
            background: #0056b3 !important;
        }
    </style>
</head>
<body>

    <h2>AI Pose Detector: Peace, Mantap, Metal</h2>
    <p>Pastikan kamera aktif dan tekan tombol di bawah:</p>
    
    <button type="button" onclick="init()">MULAI KAMERA</button>

    <div id="status"></div>
    
    <div id="canvas-container">
        <canvas id="canvas"></canvas>
    </div>

    <div id="label-container"></div>

    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.3.1/dist/tf.min.js"></script>
    <script src="https://cdn.jsdelivr.net/npm/@teachablemachine/pose@0.8/dist/teachablemachine-pose.min.js"></script>

    <script type="text/javascript">
        // Link model dari Teachable Machine kamu
        const URL = "https://teachablemachine.withgoogle.com/models/0Y2ifsgF4/";
        let model, webcam, ctx, labelContainer, maxPredictions;

        // Persiapan Audio
        const sounds = {
            "peace": new Audio("mp3peace.mp3"),
            "mantap": new Audio("mp3mantap.mp3"),
            "metal": new Audio("mp3metal.mp3")
        };

        let lastPlayedPose = ""; // Mencegah suara terulang terus menerus
        let silenceTimer; // Timer untuk meriset status suara

        async function init() {
            const modelURL = URL + "model.json";
            const metadataURL = URL + "metadata.json";

            // Load model
            model = await tmPose.load(modelURL, metadataURL);
            maxPredictions = model.getTotalClasses();

            // Setup Webcam
            const size = 400;
            const flip = true; 
            webcam = new tmPose.Webcam(size, size, flip); 
            await webcam.setup(); 
            await webcam.play();
            window.requestAnimationFrame(loop);

            // Setup UI
            const canvas = document.getElementById("canvas");
            canvas.width = size; canvas.height = size;
            ctx = canvas.getContext("2d");
            labelContainer = document.getElementById("label-container");
            labelContainer.innerHTML = ""; // Bersihkan container
            for (let i = 0; i < maxPredictions; i++) {
                labelContainer.appendChild(document.createElement("div"));
            }
        }

        async function loop(timestamp) {
            webcam.update(); 
            await predict();
            window.requestAnimationFrame(loop);
        }

        async function predict() {
            const { pose, posenetOutput } = await model.estimatePose(webcam.canvas);
            const prediction = await model.predict(posenetOutput);

            for (let i = 0; i < maxPredictions; i++) {
                const className = prediction[i].className; // Nama class asli: peace, mantap, metal
                const probability = prediction[i].probability;
                
                const element = labelContainer.childNodes[i];
                element.innerHTML = `${className}: ${(probability * 100).toFixed(0)}%`;

                // Logika Suara dan Highlight UI
                if (probability > 0.90) { // Ambang batas 90% yakin
                    element.classList.add("active-pose");
                    
                    // Mainkan suara jika pose berubah
                    if (lastPlayedPose !== className) {
                        playAudio(className);
                    }
                } else {
                    element.classList.remove("active-pose");
                }
            }
            drawPose(pose);
        }

        function playAudio(poseName) {
            const soundKey = poseName.toLowerCase();
            if (sounds[soundKey]) {
                // Stop suara lain yang sedang main (opsional)
                Object.values(sounds).forEach(s => {
                    s.pause();
                    s.currentTime = 0;
                });

                // Putar suara baru
                sounds[soundKey].play().catch(e => console.log("Izin audio diperlukan"));
                lastPlayedPose = poseName;

                // Reset 'lastPlayedPose' setelah 3 detik diam agar bisa bunyi lagi
                clearTimeout(silenceTimer);
                silenceTimer = setTimeout(() => {
                    lastPlayedPose = "";
                }, 3000);
            }
        }

        function drawPose(pose) {
            if (webcam.canvas) {
                ctx.drawImage(webcam.canvas, 0, 0);
                if (pose) {
                    const minPartConfidence = 0.5;
                    tmPose.drawKeypoints(pose.keypoints, minPartConfidence, ctx);
                    tmPose.drawSkeleton(pose.keypoints, minPartConfidence, ctx);
                }
            }
        }
    </script>
</body>
</html>