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index.html
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<!DOCTYPE html>
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<html lang="en" data-theme="dark">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>YT Emotion Analyzer</title>
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<!-- Google Fonts: Orbitron for headings, Roboto Mono for body -->
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Orbitron:[email protected]&family=Roboto+Mono:ital,wght@0,100..700;1,100..700&display=swap" rel="stylesheet">
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<!-- Chart.js for data visualization -->
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<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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<style>
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/* --- Base & Theme (Black & White) --- */
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:root {
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--glow-color: #ffffff;
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--bg-color: #000000;
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--glass-bg: rgba(25, 25, 25, 0.5);
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--border-color: rgba(255, 255, 255, 0.3);
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--text-color: #f0f0f0;
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--header-font: "Orbitron", sans-serif;
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--body-font: "Roboto Mono", monospace;
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}
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body {
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background-color: var(--bg-color);
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background-image:
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linear-gradient(rgba(255, 255, 255, 0.04) 1px, transparent 1px),
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linear-gradient(90deg, rgba(255, 255, 255, 0.04) 1px, transparent 1px);
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background-size: 25px 25px;
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color: var(--text-color);
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font-family: var(--body-font);
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display: flex;
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justify-content: center;
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align-items: flex-start;
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min-height: 100vh;
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padding: 2rem;
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}
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.container {
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width: 100%;
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max-width: 800px;
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text-align: center;
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}
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/* --- Typography & Header --- */
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h1, h2, h3 {
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font-family: var(--header-font);
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text-shadow: 0 0 8px rgba(255, 255, 255, 0.5);
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letter-spacing: 2px;
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}
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h1 { font-size: 2.5rem; }
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/* --- Glassmorphism Card --- */
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.glass-card {
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background: var(--glass-bg);
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border: 1px solid var(--border-color);
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border-radius: 15px;
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padding: 1.5rem;
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margin-bottom: 2rem;
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backdrop-filter: blur(10px);
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-webkit-backdrop-filter: blur(10px);
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box-shadow: 0 0 20px rgba(0, 0, 0, 0.5);
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}
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/* --- Form Elements --- */
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input[type="text"] {
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font-family: var(--body-font);
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background: rgba(0,0,0,0.3);
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border: 1px solid var(--border-color);
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border-radius: 8px;
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padding: 0.75rem;
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box-shadow: inset 0 0 8px rgba(255, 255, 255, 0.1);
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transition: all 0.3s ease;
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color: var(--text-color); /* Added this line */
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}
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input[type="text"]:focus {
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box-shadow: 0 0 10px var(--glow-color), inset 0 0 10px rgba(255, 255, 255, 0.2);
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border-color: var(--glow-color);
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}
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button {
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font-family: var(--header-font);
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background: transparent;
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color: var(--glow-color);
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border: 2px solid var(--glow-color);
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border-radius: 8px;
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padding: 0.75rem 1.5rem;
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cursor: pointer;
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text-shadow: 0 0 5px var(--glow-color);
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box-shadow: 0 0 5px var(--glow-color), inset 0 0 5px rgba(255, 255, 255, 0.2);
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transition: all 0.3s ease;
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}
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button:hover {
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background: var(--glow-color);
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color: var(--bg-color);
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box-shadow: 0 0 20px var(--glow-color), inset 0 0 10px var(--glow-color);
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}
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.button-group { display: flex; gap: 1rem; justify-content: center; }
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/* --- Results & Comments --- */
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#resultsSection { display: none; }
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.results-grid {
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display: grid;
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grid-template-columns: 1fr; /* Default to single column */
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gap: 2rem;
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align-items: flex-start;
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}
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@media (min-width: 768px) {
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.results-grid {
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grid-template-columns: 1fr 1fr; /* Two columns on larger screens */
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}
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}
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#videoInfo img {
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max-width: 100%;
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border-radius: 8px;
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border: 1px solid var(--border-color);
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}
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.comment-lists { text-align: left; }
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.comment-lists h3 { font-size: 1.2rem; text-transform: capitalize; }
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.comment-lists ul {
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list-style: none;
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padding: 0;
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max-height: 200px;
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overflow-y: auto;
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}
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.comment-lists li {
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background: var(--glass-bg);
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border-left: 3px solid var(--glow-color);
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padding: 0.75rem;
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margin-bottom: 0.5rem;
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border-radius: 0 5px 5px 0;
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font-size: 0.9rem;
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}
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/* --- Loader Animation --- */
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#loader {
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display: none;
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width: 50px;
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height: 50px;
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border: 5px solid rgba(255, 255, 255, 0.2);
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border-top-color: var(--glow-color);
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border-radius: 50%;
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animation: spin 1s linear infinite;
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margin: 2rem auto;
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}
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@keyframes spin { to { transform: rotate(360deg); } }
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/* --- Utility --- */
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.hidden { display: none; }
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</style>
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</head>
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<body>
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<main class="container">
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<h1>EMOTION ANALYZER</h1>
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<p>Input a YouTube video URL for deep comment analysis.</p>
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<section class="glass-card">
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<form id="urlForm">
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<input type="text" id="youtubeUrlInput" placeholder="Enter YouTube Video URL..." required>
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<div class="button-group" style="margin-top: 1rem;">
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<button type="submit" id="analyzeButton">ANALYZE</button>
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<button type="button" id="clearButton" class="hidden">CLEAR</button>
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</div>
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</form>
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</section>
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<div id="loader"></div>
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<p id="statusText"></p>
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<section id="resultsSection" class="glass-card">
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<div id="videoInfo">
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<img id="videoThumbnail" src="" alt="Video Thumbnail">
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<h2 id="videoTitle"></h2>
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<p id="totalCommentsText"></p>
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</div>
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<hr style="border-color: var(--border-color); margin: 2rem 0;">
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<div class="results-grid">
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<div id="chartContainer">
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<canvas id="emotionChart"></canvas>
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</div>
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<div id="topCommentsContainer" class="comment-lists">
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<!-- Comment lists will be dynamically generated here -->
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</div>
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</div>
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</section>
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</main>
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<script>
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// --- DOM Elements ---
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const urlForm = document.getElementById('urlForm');
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const urlInput = document.getElementById('youtubeUrlInput');
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const analyzeButton = document.getElementById('analyzeButton');
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const clearButton = document.getElementById('clearButton');
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const loader = document.getElementById('loader');
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const statusText = document.getElementById('statusText');
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const resultsSection = document.getElementById('resultsSection');
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const videoThumbnail = document.getElementById('videoThumbnail');
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const videoTitle = document.getElementById('videoTitle');
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const totalCommentsText = document.getElementById('totalCommentsText');
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const chartCanvas = document.getElementById('emotionChart').getContext('2d');
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const topCommentsContainer = document.getElementById('topCommentsContainer');
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// --- Global Chart Variable ---
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let myChart = null;
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// --- Event Listeners ---
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urlForm.addEventListener('submit', handleFormSubmit);
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clearButton.addEventListener('click', clearResults);
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// --- Core Functions ---
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async function handleFormSubmit(event) {
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event.preventDefault();
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const url = urlInput.value.trim();
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if (!url) return;
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clearResults(false);
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loader.style.display = 'block';
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statusText.textContent = 'Analyzing emotional spectrum...';
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analyzeButton.disabled = true;
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try {
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const response = await fetch(window.location.origin + '/analyze', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ youtube_url: url })
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});
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const data = await response.json();
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if (!response.ok) {
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throw new Error(data.error || 'API request failed.');
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}
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statusText.textContent = 'Analysis complete.';
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displayResults(data);
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} catch (error) {
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statusText.textContent = `Error: ${error.message}`;
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} finally {
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loader.style.display = 'none';
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analyzeButton.disabled = false;
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}
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}
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function displayResults(data) {
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videoTitle.textContent = data.video_details.title;
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videoThumbnail.src = data.video_details.thumbnail_url;
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if (data.error) {
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totalCommentsText.textContent = data.error;
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resultsSection.style.display = 'block';
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clearButton.classList.remove('hidden');
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return;
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}
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totalCommentsText.textContent = `Based on ${data.total_comments_analyzed} comments analyzed.`;
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renderEmotionChart(data.emotions);
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populateEmotionCommentLists(data.top_comments_by_emotion);
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resultsSection.style.display = 'block';
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clearButton.classList.remove('hidden');
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}
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function renderEmotionChart(emotions) {
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if (myChart) myChart.destroy();
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Chart.defaults.color = '#f0f0f0';
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Chart.defaults.font.family = '"Roboto Mono", monospace';
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const emotionOrder = ['joy', 'optimism', 'sadness', 'anger'];
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const chartLabels = emotionOrder.map(label => label.charAt(0).toUpperCase() + label.slice(1));
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const chartData = emotionOrder.map(label => emotions[label] || 0);
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myChart = new Chart(chartCanvas, {
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type: 'radar',
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data: {
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labels: chartLabels,
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datasets: [{
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label: 'Emotion Score',
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data: chartData,
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fill: true,
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backgroundColor: 'rgba(255, 255, 255, 0.2)',
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borderColor: 'rgb(255, 255, 255)',
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pointBackgroundColor: 'rgb(255, 255, 255)',
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pointBorderColor: '#fff',
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pointHoverBackgroundColor: '#fff',
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pointHoverBorderColor: 'rgb(255, 255, 255)'
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}]
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},
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options: {
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responsive: true,
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plugins: {
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legend: { display: false },
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title: {
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display: true,
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text: 'Emotion Distribution Profile',
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font: { family: '"Orbitron", sans-serif', size: 16 }
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}
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},
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scales: {
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r: {
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angleLines: { color: 'rgba(255, 255, 255, 0.2)' },
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grid: { color: 'rgba(255, 255, 255, 0.2)' },
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pointLabels: { font: { size: 12 } },
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ticks: {
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backdropColor: 'rgba(0, 0, 0, 0.5)',
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stepSize: Math.max(1, Math.ceil(Math.max(...chartData, 1) / 4))
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}
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}
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}
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}
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});
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}
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function populateEmotionCommentLists(top_comments) {
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topCommentsContainer.innerHTML = '';
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const emotionOrder = ['joy', 'optimism', 'anger', 'sadness'];
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for (const emotion of emotionOrder) {
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const comments = top_comments[emotion];
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if (comments && comments.length > 0) {
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const emotionSection = document.createElement('div');
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const title = document.createElement('h3');
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title.textContent = emotion;
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emotionSection.appendChild(title);
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const listElement = document.createElement('ul');
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comments.forEach(comment => {
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const li = document.createElement('li');
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li.textContent = comment;
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listElement.appendChild(li);
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});
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emotionSection.appendChild(listElement);
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topCommentsContainer.appendChild(emotionSection);
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}
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}
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}
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function clearResults(clearInput = true) {
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if (myChart) myChart.destroy();
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resultsSection.style.display = 'none';
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statusText.textContent = '';
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if (clearInput) urlInput.value = '';
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topCommentsContainer.innerHTML = '';
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clearButton.classList.add('hidden');
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}
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</script>
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</body>
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</html>
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