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Waste_Classification
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- <!DOCTYPE html>
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- <html lang="en">
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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>Waste Classification AI</title>
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- <link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">
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- <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
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- <script src="https://cdn.jsdelivr.net/npm/tsparticles@3.3.0/tsparticles.bundle.min.js"></script>
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- <style>
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- body {
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- font-family: 'Inter', sans-serif;
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- background: linear-gradient(135deg, #f6f8fc 0%, #e9f0f7 100%);
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- }
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- .drop-zone {
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- border: 2px dashed #cbd5e0;
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- transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1);
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- background: rgba(255, 255, 255, 0.8);
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- backdrop-filter: blur(8px);
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- }
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- .drop-zone:hover {
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- border-color: #4299e1;
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- background: rgba(255, 255, 255, 0.95);
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- transform: translateY(-2px);
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- box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06);
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- }
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- .loading {
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- display: none;
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- }
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- .loading.active {
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- display: flex;
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- }
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- .result-card {
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- transition: all 0.3s ease;
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- transform: translateY(0);
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- }
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- .result-card.show {
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- transform: translateY(0);
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- opacity: 1;
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- }
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- .upload-icon {
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- transition: all 0.3s ease;
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- }
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- .drop-zone:hover .upload-icon {
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- transform: scale(1.1);
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- color: #4299e1;
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- }
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- .prediction-badge {
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- transition: all 0.3s ease;
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- }
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- .prediction-badge:hover {
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- transform: scale(1.05);
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- }
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- @keyframes float {
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- 0% { transform: translateY(0px); }
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- 50% { transform: translateY(-10px); }
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- 100% { transform: translateY(0px); }
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- }
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- .floating {
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- animation: float 3s ease-in-out infinite;
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- }
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- .image-preview {
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- max-width: 100%;
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- max-height: 300px;
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- object-fit: contain;
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- border-radius: 0.5rem;
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- display: none;
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- }
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- .image-preview.show {
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- display: block;
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- }
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- .preview-container {
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- display: none;
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- margin-bottom: 1rem;
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- }
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- .preview-container.show {
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- display: block;
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- }
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- </style>
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- </head>
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- <body class="min-h-screen relative">
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- <!-- Particle Animation Background -->
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- <div id="tsparticles" style="position:fixed; inset:0; z-index:0;"></div>
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-
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- <div class="container mx-auto px-4 py-12 2xl:max-w-screen-2xl">
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- <div class="mx-auto max-w-5xl">
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- <!-- Header Section -->
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- <div class="flex flex-col items-center justify-center mb-12 pt-8 pb-6">
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- <h1 class="text-5xl md:text-6xl font-extrabold tracking-tight text-gray-900 text-center leading-tight">
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- Waste Classification AI
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- </h1>
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- <div class="w-24 h-1 mt-4 mb-2 rounded-full bg-gradient-to-r from-blue-400 via-green-400 to-blue-400"></div>
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- <p class="text-xl text-gray-600 text-center mt-2">Upload an image to classify waste as dry or wet</p>
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- </div>
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-
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- <!-- Main Card -->
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- <div class="bg-white rounded-3xl shadow-2xl p-12 backdrop-blur-lg bg-opacity-90">
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- <!-- Image Preview -->
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- <div id="preview-container" class="preview-container">
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- <div class="relative">
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- <img id="image-preview" class="image-preview mx-auto" src="" alt="Preview">
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- <button id="remove-image" class="absolute top-2 right-2 bg-red-500 text-white rounded-full p-2 hover:bg-red-600 transition-colors">
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- <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
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- <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M6 18L18 6M6 6l12 12" />
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- </svg>
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- </button>
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- </div>
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- </div>
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-
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- <!-- Upload Zone -->
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- <div id="drop-zone" class="drop-zone rounded-xl p-12 text-center cursor-pointer mb-8">
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- <div class="space-y-6">
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- <div class="upload-icon floating">
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- <svg class="mx-auto h-16 w-16 text-gray-400" stroke="currentColor" fill="none" viewBox="0 0 48 48">
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- <path d="M28 8H12a4 4 0 00-4 4v20m32-12v8m0 0v8a4 4 0 01-4 4H12a4 4 0 01-4-4v-4m32-4l-3.172-3.172a4 4 0 00-5.656 0L28 28M8 32l9.172-9.172a4 4 0 015.656 0L28 28m0 0l4 4m4-24h8m-4-4v8m-12 4h.02" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" />
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- </svg>
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- </div>
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- <div class="text-gray-600">
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- <p class="text-xl font-medium mb-2">Drag and drop your image here</p>
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- <p class="text-sm text-gray-500 mb-4">or</p>
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- <button class="px-6 py-3 bg-blue-500 text-white rounded-lg hover:bg-blue-600 transition-all transform hover:scale-105 focus:outline-none focus:ring-2 focus:ring-blue-500 focus:ring-opacity-50 mr-2" onclick="fileInput.click()">
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- Browse Files
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- </button>
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- <button id="camera-btn" class="px-6 py-3 bg-green-500 text-white rounded-lg hover:bg-green-600 transition-all transform hover:scale-105 focus:outline-none focus:ring-2 focus:ring-green-500 focus:ring-opacity-50">
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- Use Camera
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- </button>
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- </div>
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- </div>
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- <input type="file" id="file-input" class="hidden" accept="image/*">
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- </div>
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-
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- <!-- Webcam Modal -->
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- <div id="camera-modal" class="fixed inset-0 z-50 flex items-center justify-center bg-black bg-opacity-60 hidden">
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- <div class="bg-white rounded-2xl shadow-2xl p-8 flex flex-col items-center relative w-full max-w-md mx-auto">
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- <button id="close-camera" class="absolute top-4 right-4 text-gray-400 hover:text-red-500 text-2xl">&times;</button>
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- <video id="webcam" autoplay playsinline class="rounded-lg border border-gray-200 mb-4 w-full max-w-xs"></video>
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- <canvas id="webcam-canvas" class="hidden"></canvas>
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- <button id="capture-btn" class="px-6 py-3 bg-blue-500 text-white rounded-lg hover:bg-blue-600 transition-all mt-2">Capture</button>
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- </div>
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- </div>
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-
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- <!-- Loading Animation -->
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- <div id="loading" class="loading items-center justify-center space-x-3 py-8">
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- <div class="w-4 h-4 bg-blue-500 rounded-full animate-bounce"></div>
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- <div class="w-4 h-4 bg-blue-500 rounded-full animate-bounce" style="animation-delay: 0.2s"></div>
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- <div class="w-4 h-4 bg-blue-500 rounded-full animate-bounce" style="animation-delay: 0.4s"></div>
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- </div>
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-
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- <!-- Result Section -->
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- <div id="result" class="result-card opacity-0 transform translate-y-4 hidden">
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- <div class="p-6 rounded-xl bg-gradient-to-r from-blue-50 to-green-50">
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- <h2 class="text-2xl font-semibold mb-4 text-gray-800">Classification Result</h2>
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- <div class="prediction-badge inline-block px-6 py-3 rounded-full text-lg font-medium" id="prediction-text"></div>
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- </div>
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- </div>
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-
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- <!-- Error Section -->
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- <div id="error" class="hidden">
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- <div class="p-6 rounded-xl bg-red-50 border border-red-100">
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- <div class="flex items-center">
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- <svg class="h-6 w-6 text-red-500 mr-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
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- <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M12 8v4m0 4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
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- </svg>
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- <p id="error-text" class="text-red-700"></p>
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- </div>
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- </div>
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- </div>
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- </div>
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-
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- <!-- History Section -->
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- <div class="mt-16">
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- <div class="flex justify-between items-center mb-6">
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- <h2 class="text-2xl font-bold text-gray-800">Recent Predictions</h2>
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- <div class="flex gap-2">
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- <button class="filter-btn px-4 py-2 rounded-full text-sm font-medium bg-gray-100 text-gray-700 hover:bg-blue-100 hover:text-blue-700 transition-colors active flex items-center gap-2" data-filter="all">
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- <svg class="w-4 h-4" fill="none" stroke="currentColor" stroke-width="2" viewBox="0 0 24 24"><circle cx="12" cy="12" r="10" stroke="currentColor"/><path d="M8 12h8" stroke="currentColor" stroke-linecap="round"/></svg>
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- All
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- </button>
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- <button class="filter-btn px-4 py-2 rounded-full text-sm font-medium bg-green-100 text-green-800 hover:bg-green-200 transition-colors flex items-center gap-2" data-filter="Dry Waste">
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- <svg class="w-4 h-4" fill="none" stroke="currentColor" stroke-width="2" viewBox="0 0 24 24"><rect x="4" y="4" width="16" height="16" rx="4" stroke="#22c55e"/><path d="M8 12h8" stroke="#22c55e" stroke-linecap="round"/></svg>
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- Dry Waste
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- </button>
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- <button class="filter-btn px-4 py-2 rounded-full text-sm font-medium bg-blue-100 text-blue-800 hover:bg-blue-200 transition-colors flex items-center gap-2" data-filter="Wet Waste">
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- <svg class="w-4 h-4" fill="none" stroke="currentColor" stroke-width="2" viewBox="0 0 24 24"><ellipse cx="12" cy="12" rx="8" ry="10" stroke="#2563eb"/><path d="M8 12h8" stroke="#2563eb" stroke-linecap="round"/></svg>
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- Wet Waste
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- </button>
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- </div>
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- <button id="clear-history" class="px-4 py-2 text-sm text-red-600 hover:text-red-700 transition-colors">
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- Clear History
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- </button>
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- </div>
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- <div id="history-container" class="grid grid-cols-1 md:grid-cols-2 xl:grid-cols-3 2xl:grid-cols-4 gap-8">
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- {% for item in history %}
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- <div class="history-card bg-white border border-gray-100 rounded-2xl shadow-lg overflow-hidden transform transition-all duration-300 hover:scale-105 hover:shadow-2xl group opacity-100 scale-100" data-prediction="{{ item.prediction }}">
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- <div class="p-0 flex flex-col items-center">
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- <div class="w-full h-56 bg-gray-50 flex items-center justify-center overflow-hidden rounded-t-2xl relative">
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- <img src="data:image/jpeg;base64,{{ item.image }}"
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- alt="Prediction"
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- class="object-cover w-full h-full transition-transform duration-300 group-hover:scale-110"
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- onerror="this.src='data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjAwIiBoZWlnaHQ9IjIwMCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48cmVjdCB3aWR0aD0iMjAwIiBoZWlnaHQ9IjIwMCIgZmlsbD0iI2YzZjRmNiIvPjx0ZXh0IHg9IjUwJSIgeT0iNTAlIiBmb250LWZhbWlseT0iQXJpYWwiIGZvbnQtc2l6ZT0iMTYiIGZpbGw9IiM5Y2EzYWYiIHRleHQtYW5jaG9yPSJtaWRkbGUiIGR5PSIuM2VtIj5JbWFnZSBsb2FkIGVycm9yPC90ZXh0Pjwvc3ZnPg=='">
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- </div>
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- <div class="flex flex-col items-center w-full p-4">
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- <span class="prediction-badge px-5 py-2 mb-2 rounded-full text-base font-semibold shadow-sm transition-all duration-300
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- {% if item.prediction == 'Dry Waste' %}
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- bg-green-100 text-green-800 border border-green-200
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- {% else %}
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- bg-blue-100 text-blue-800 border border-blue-200
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- {% endif %}">
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- {{ item.prediction }}
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- </span>
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- <span class="history-date block text-xs text-gray-400 mt-1" data-date="{{ item.timestamp }}">{{ item.timestamp }}</span>
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- </div>
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- </div>
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- </div>
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- {% endfor %}
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- </div>
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- {% if not history %}
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- <div class="text-center py-8 text-gray-500">
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- <p>No predictions yet. Upload an image to get started!</p>
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- </div>
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- {% endif %}
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- <!-- Info Section: Now directly below history -->
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- <div class="mt-10 text-center text-gray-500">
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- <p class="text-sm">Supported formats: <span class="font-medium text-gray-700">PNG, JPG, JPEG</span></p>
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- <p class="text-sm mt-1">Maximum file size: <span class="font-medium text-gray-700">16MB</span></p>
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- </div>
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- </div>
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- </div>
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- </div>
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-
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- <script>
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- const dropZone = document.getElementById('drop-zone');
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- const fileInput = document.getElementById('file-input');
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- const loading = document.getElementById('loading');
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- const result = document.getElementById('result');
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- const predictionText = document.getElementById('prediction-text');
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- const error = document.getElementById('error');
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- const errorText = document.getElementById('error-text');
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- const imagePreview = document.getElementById('image-preview');
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- const previewContainer = document.getElementById('preview-container');
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- const removeImage = document.getElementById('remove-image');
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-
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- // Handle drag and drop
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- ['dragenter', 'dragover', 'dragleave', 'drop'].forEach(eventName => {
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- dropZone.addEventListener(eventName, preventDefaults, false);
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- });
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-
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- function preventDefaults(e) {
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- e.preventDefault();
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- e.stopPropagation();
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- }
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-
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- ['dragenter', 'dragover'].forEach(eventName => {
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- dropZone.addEventListener(eventName, highlight, false);
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- });
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-
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- ['dragleave', 'drop'].forEach(eventName => {
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- dropZone.addEventListener(eventName, unhighlight, false);
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- });
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-
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- function highlight(e) {
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- dropZone.classList.add('border-blue-500', 'bg-blue-50');
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- }
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-
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- function unhighlight(e) {
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- dropZone.classList.remove('border-blue-500', 'bg-blue-50');
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- }
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-
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- dropZone.addEventListener('drop', handleDrop, false);
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- dropZone.addEventListener('click', () => fileInput.click());
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- fileInput.addEventListener('change', handleFileSelect);
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- removeImage.addEventListener('click', resetUpload);
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-
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- function handleDrop(e) {
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- const dt = e.dataTransfer;
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- const files = dt.files;
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- handleFiles(files);
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- }
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-
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- function handleFileSelect(e) {
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- const files = e.target.files;
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- handleFiles(files);
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- }
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-
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- function handleFiles(files) {
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- if (files.length > 0) {
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- const file = files[0];
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- if (file.type.startsWith('image/')) {
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- showImagePreview(file);
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- uploadFile(file);
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- } else {
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- showError('Please upload an image file (PNG, JPG, or JPEG)');
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- }
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- }
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- }
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-
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- function showImagePreview(file) {
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- const reader = new FileReader();
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- reader.onload = function(e) {
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- imagePreview.src = e.target.result;
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- imagePreview.classList.add('show');
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- previewContainer.classList.add('show');
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- dropZone.style.display = 'none';
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- }
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- reader.readAsDataURL(file);
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- }
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-
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- function resetUpload() {
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- imagePreview.src = '';
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- imagePreview.classList.remove('show');
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- previewContainer.classList.remove('show');
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- dropZone.style.display = 'block';
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- result.classList.add('hidden');
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- error.classList.add('hidden');
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- fileInput.value = '';
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- }
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-
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- function uploadFile(file) {
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- const formData = new FormData();
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- formData.append('file', file);
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-
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- loading.classList.add('active');
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- result.classList.add('hidden');
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- error.classList.add('hidden');
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-
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- fetch('/predict', {
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- method: 'POST',
328
- body: formData
329
- })
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- .then(response => response.json())
331
- .then(data => {
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- loading.classList.remove('active');
333
- if (data.error) {
334
- showError(data.error);
335
- } else {
336
- showResult(data.prediction);
337
- setTimeout(() => { window.location.reload(); }, 1000);
338
- }
339
- })
340
- .catch(err => {
341
- loading.classList.remove('active');
342
- showError('An error occurred while processing your request');
343
- });
344
- }
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-
346
- function showResult(prediction) {
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- result.classList.remove('hidden');
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- predictionText.textContent = prediction;
349
-
350
- // Add appropriate styling based on prediction
351
- if (prediction === 'Dry Waste') {
352
- predictionText.className = 'prediction-badge inline-block px-6 py-3 rounded-full text-lg font-medium bg-green-100 text-green-800';
353
- } else {
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- predictionText.className = 'prediction-badge inline-block px-6 py-3 rounded-full text-lg font-medium bg-blue-100 text-blue-800';
355
- }
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-
357
- // Trigger animation
358
- setTimeout(() => {
359
- result.classList.add('show');
360
- }, 50);
361
- }
362
-
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- function showError(message) {
364
- error.classList.remove('hidden');
365
- errorText.textContent = message;
366
- }
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-
368
- // Format history dates for a modern look
369
- [...document.querySelectorAll('.history-date')].forEach(function(el) {
370
- const raw = el.getAttribute('data-date');
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- if (raw) {
372
- const d = new Date(raw.replace(' ', 'T'));
373
- if (!isNaN(d)) {
374
- el.textContent = d.toLocaleString(undefined, {
375
- year: 'numeric', month: 'short', day: 'numeric',
376
- hour: '2-digit', minute: '2-digit'
377
- });
378
- }
379
- }
380
- });
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-
382
- // Clear History
383
- document.getElementById('clear-history').addEventListener('click', function() {
384
- if (confirm('Are you sure you want to clear the prediction history?')) {
385
- fetch('/clear-history', {
386
- method: 'POST'
387
- })
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- .then(response => response.json())
389
- .then(data => {
390
- if (data.success) {
391
- document.getElementById('history-container').innerHTML = `
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- <div class="text-center py-8 text-gray-500 col-span-full">
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- <p>No predictions yet. Upload an image to get started!</p>
394
- </div>
395
- `;
396
- }
397
- })
398
- .catch(err => {
399
- console.error('Error clearing history:', err);
400
- });
401
- }
402
- });
403
-
404
- tsParticles.load("tsparticles", {
405
- fullScreen: { enable: false },
406
- background: { color: "transparent" },
407
- particles: {
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- number: { value: 60, density: { enable: true, value_area: 800 } },
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- color: { value: ["#4ade80", "#60a5fa", "#facc15"] },
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- shape: { type: "circle" },
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- opacity: { value: 0.25 },
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- size: { value: 4, random: { enable: true, minimumValue: 2 } },
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- move: { enable: true, speed: 1, direction: "none", outModes: "out" }
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- },
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- interactivity: {
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- events: { onHover: { enable: true, mode: "repulse" }, resize: true },
417
- modes: { repulse: { distance: 80, duration: 0.4 } }
418
- }
419
- });
420
-
421
- // Filter functionality for history cards (wrapped in DOMContentLoaded)
422
- document.addEventListener('DOMContentLoaded', function() {
423
- const filterBtns = document.querySelectorAll('.filter-btn');
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- const historyCards = document.querySelectorAll('.history-card');
425
- filterBtns.forEach(btn => {
426
- btn.addEventListener('click', function() {
427
- filterBtns.forEach(b => b.classList.remove('active', 'bg-blue-100', 'text-blue-700'));
428
- this.classList.add('active', 'bg-blue-100', 'text-blue-700');
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- const filter = this.getAttribute('data-filter');
430
- historyCards.forEach(card => {
431
- if (filter === 'all' || card.getAttribute('data-prediction') === filter) {
432
- card.style.display = '';
433
- card.classList.remove('opacity-0', 'scale-95');
434
- card.classList.add('opacity-100', 'scale-100');
435
- } else {
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- card.classList.add('opacity-0', 'scale-95');
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- setTimeout(() => { card.style.display = 'none'; }, 200);
438
- }
439
- });
440
- });
441
- });
442
- });
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-
444
- // Webcam detection logic
445
- const cameraBtn = document.getElementById('camera-btn');
446
- const cameraModal = document.getElementById('camera-modal');
447
- const closeCamera = document.getElementById('close-camera');
448
- const webcam = document.getElementById('webcam');
449
- const webcamCanvas = document.getElementById('webcam-canvas');
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- const captureBtn = document.getElementById('capture-btn');
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-
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- let stream = null;
453
-
454
- cameraBtn.addEventListener('click', async (event) => {
455
- event.stopPropagation(); // Prevents drop zone click
456
- cameraModal.classList.remove('hidden');
457
- try {
458
- stream = await navigator.mediaDevices.getUserMedia({ video: true });
459
- webcam.srcObject = stream;
460
- } catch (err) {
461
- alert('Could not access the camera.');
462
- cameraModal.classList.add('hidden');
463
- }
464
- });
465
-
466
- closeCamera.addEventListener('click', () => {
467
- cameraModal.classList.add('hidden');
468
- if (stream) {
469
- stream.getTracks().forEach(track => track.stop());
470
- }
471
- });
472
-
473
- captureBtn.addEventListener('click', () => {
474
- const context = webcamCanvas.getContext('2d');
475
- webcamCanvas.width = webcam.videoWidth;
476
- webcamCanvas.height = webcam.videoHeight;
477
- context.drawImage(webcam, 0, 0, webcam.videoWidth, webcam.videoHeight);
478
- webcamCanvas.toBlob(blob => {
479
- // Stop the camera
480
- if (stream) {
481
- stream.getTracks().forEach(track => track.stop());
482
- }
483
- cameraModal.classList.add('hidden');
484
- // Send the captured image as a file to the backend
485
- const file = new File([blob], 'webcam.jpg', { type: 'image/jpeg' });
486
- uploadFile(file);
487
- }, 'image/jpeg', 0.95);
488
- });
489
- </script>
490
- </body>
491
- </html>