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- <!doctype html>
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  <html>
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- <head>
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- <meta charset="utf-8" />
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- <meta name="viewport" content="width=device-width" />
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- <title>My static Space</title>
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- <link rel="stylesheet" href="style.css" />
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- </head>
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- <body>
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- <div class="card">
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- <h1>Welcome to your static Space!</h1>
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- <p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
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- <p>
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- Also don't forget to check the
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- <a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
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- </p>
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- </div>
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- </body>
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- </html>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <!DOCTYPE html>
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  <html>
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+ <head>
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+ <title>Pose Recognition with Audio</title>
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+ <style>
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+ body { font-family: sans-serif; text-align: center; background: #f0f2f5; }
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+ canvas { border: 4px solid #333; border-radius: 10px; margin-top: 20px; }
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+ button { padding: 10px 25px; font-size: 18px; cursor: pointer; background: #007bff; color: white; border: none; border-radius: 5px; }
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+ #label-container { margin-top: 20px; font-weight: bold; font-size: 20px; }
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+ </style>
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+ </head>
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+ <body>
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+ <h2>Teachable Machine Pose Model + Audio</h2>
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+ <button type="button" onclick="init()">Mulai Kamera</button>
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+ <div><canvas id="canvas"></canvas></div>
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+ <div id="label-container"></div>
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+
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+ <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.3.1/dist/tf.min.js"></script>
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+ <script src="https://cdn.jsdelivr.net/npm/@teachablemachine/pose@0.8/dist/teachablemachine-pose.min.js"></script>
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+ <script type="text/javascript">
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+ const URL = "https://teachablemachine.withgoogle.com/models/irrvgnfP0/";
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+ let model, webcam, ctx, labelContainer, maxPredictions;
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+
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+ const audioFiles = {
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+ "kicawkicaw": new Audio('kicawkicaw.mp3'),
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+ "semangat": new Audio('semangat.mp3'),
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+ "berjuang": new Audio('berjuang.mp3'),
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+ "sukses": new Audio('sukses.mp3'),
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+ "hidup jokowi": new Audio('hidup_jokowi.mp3')
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+ };
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+
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+ let lastPlayedClass = "";
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+
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+ async function init() {
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+ const modelURL = URL + "model.json";
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+ const metadataURL = URL + "metadata.json";
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+ model = await tmPose.load(modelURL, metadataURL);
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+ maxPredictions = model.getTotalClasses();
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+
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+ const size = 400;
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+ const flip = true;
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+ webcam = new tmPose.Webcam(size, size, flip);
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+ await webcam.setup();
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+ await webcam.play();
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+ window.requestAnimationFrame(loop);
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+
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+ const canvas = document.getElementById("canvas");
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+ canvas.width = size; canvas.height = size;
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+ ctx = canvas.getContext("2d");
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+ labelContainer = document.getElementById("label-container");
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+ for (let i = 0; i < maxPredictions; i++) {
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+ labelContainer.appendChild(document.createElement("div"));
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+ }
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+ }
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+
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+ async function loop(timestamp) {
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+ webcam.update();
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+ await predict();
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+ window.requestAnimationFrame(loop);
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+ }
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+
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+ async function predict() {
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+ const { pose, posenetOutput } = await model.estimatePose(webcam.canvas);
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+ const prediction = await model.predict(posenetOutput);
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+
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+ for (let i = 0; i < maxPredictions; i++) {
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+ const className = prediction[i].className;
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+ const probability = prediction[i].probability;
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+ labelContainer.childNodes[i].innerHTML = className + ": " + (probability * 100).toFixed(0) + "%";
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+
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+ if (probability > 0.90 && lastPlayedClass !== className) {
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+ playVoice(className);
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+ lastPlayedClass = className;
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+ }
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+ }
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+ drawPose(pose);
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+ }
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+
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+ function playVoice(className) {
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+ Object.values(audioFiles).forEach(audio => {
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+ audio.pause();
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+ audio.currentTime = 0;
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+ });
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+ if (audioFiles[className]) {
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+ audioFiles[className].play().catch(e => console.log("Audio play blocked"));
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+ }
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+ }
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+
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+ function drawPose(pose) {
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+ if (webcam.canvas) {
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+ ctx.drawImage(webcam.canvas, 0, 0);
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+ if (pose) {
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+ const minPartConfidence = 0.5;
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+ tmPose.drawKeypoints(pose.keypoints, minPartConfidence, ctx);
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+ tmPose.drawSkeleton(pose.keypoints, minPartConfidence, ctx);
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+ }
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+ }
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+ }
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+ </script>
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+ </body>
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+ </html>