mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2025-09-14 20:07:24 +00:00
854 lines
30 KiB
HTML
854 lines
30 KiB
HTML
<!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>N8N AI Integration Hub - Brain Technology & Workflow Automation</title>
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<style>
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* {
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margin: 0;
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padding: 0;
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box-sizing: border-box;
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}
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body {
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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min-height: 100vh;
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color: #333;
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}
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.container {
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max-width: 1400px;
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margin: 0 auto;
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padding: 20px;
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}
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.header {
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text-align: center;
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margin-bottom: 40px;
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background: rgba(255, 255, 255, 0.95);
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padding: 30px;
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border-radius: 20px;
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box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1);
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}
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.header h1 {
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font-size: 3rem;
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color: #2c3e50;
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margin-bottom: 10px;
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background: linear-gradient(45deg, #667eea, #764ba2);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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background-clip: text;
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}
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.header p {
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font-size: 1.2rem;
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color: #7f8c8d;
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}
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.tech-badge {
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display: inline-block;
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background: linear-gradient(45deg, #ff6b6b, #ee5a24);
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color: white;
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padding: 5px 15px;
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border-radius: 20px;
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font-size: 0.8rem;
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margin: 10px 5px;
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}
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.dashboard {
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 30px;
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margin-bottom: 40px;
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}
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.card {
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background: rgba(255, 255, 255, 0.95);
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border-radius: 20px;
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padding: 30px;
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box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1);
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transition: transform 0.3s ease, box-shadow 0.3s ease;
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}
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.card:hover {
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transform: translateY(-5px);
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box-shadow: 0 20px 40px rgba(0, 0, 0, 0.15);
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}
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.card h2 {
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color: #2c3e50;
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margin-bottom: 20px;
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font-size: 1.8rem;
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display: flex;
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align-items: center;
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gap: 10px;
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}
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.card h2::before {
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content: '';
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width: 4px;
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height: 30px;
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background: linear-gradient(45deg, #667eea, #764ba2);
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border-radius: 2px;
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}
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.stats-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
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gap: 20px;
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margin-bottom: 30px;
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}
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.stat-item {
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text-align: center;
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padding: 20px;
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background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%);
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border-radius: 15px;
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color: white;
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}
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.stat-number {
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font-size: 2.5rem;
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font-weight: bold;
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margin-bottom: 5px;
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}
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.stat-label {
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font-size: 0.9rem;
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opacity: 0.9;
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}
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.integration-section {
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background: rgba(255, 255, 255, 0.95);
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border-radius: 20px;
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padding: 30px;
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margin-bottom: 30px;
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box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1);
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}
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.workflow-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
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gap: 20px;
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margin: 20px 0;
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}
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.workflow-card {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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padding: 20px;
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border-radius: 15px;
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transition: transform 0.3s ease;
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cursor: pointer;
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}
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.workflow-card:hover {
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transform: scale(1.02);
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}
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.workflow-card h3 {
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margin-bottom: 10px;
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font-size: 1.2rem;
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}
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.workflow-card p {
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opacity: 0.9;
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font-size: 0.9rem;
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}
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.controls {
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display: flex;
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gap: 15px;
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margin-bottom: 20px;
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flex-wrap: wrap;
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}
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.btn {
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padding: 12px 24px;
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border: none;
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border-radius: 10px;
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background: linear-gradient(45deg, #667eea, #764ba2);
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color: white;
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cursor: pointer;
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font-size: 1rem;
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transition: transform 0.3s ease;
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}
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.btn:hover {
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transform: translateY(-2px);
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}
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.btn-secondary {
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background: linear-gradient(45deg, #f093fb, #f5576c);
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}
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.btn-success {
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background: linear-gradient(45deg, #4facfe, #00f2fe);
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}
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.btn-warning {
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background: linear-gradient(45deg, #43e97b, #38f9d7);
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}
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.search-box {
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padding: 12px 20px;
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border: 2px solid #e9ecef;
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border-radius: 10px;
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font-size: 1rem;
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width: 300px;
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transition: border-color 0.3s ease;
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}
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.search-box:focus {
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outline: none;
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border-color: #667eea;
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}
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.brain-tech-section {
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background: rgba(255, 255, 255, 0.95);
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border-radius: 20px;
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padding: 30px;
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margin-bottom: 30px;
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box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1);
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}
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.neural-network {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 20px;
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margin: 20px 0;
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}
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.neuron {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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padding: 20px;
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border-radius: 15px;
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text-align: center;
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position: relative;
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overflow: hidden;
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}
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.neuron::before {
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content: '';
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position: absolute;
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top: 0;
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left: -100%;
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width: 100%;
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height: 100%;
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background: linear-gradient(90deg, transparent, rgba(255, 255, 255, 0.3), transparent);
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animation: pulse 2s infinite;
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}
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@keyframes pulse {
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0% { left: -100%; }
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50% { left: 100%; }
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100% { left: 100%; }
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}
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.adaptive-features {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
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gap: 20px;
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margin-top: 20px;
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}
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.adaptive-card {
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background: linear-gradient(135deg, #a8edea 0%, #fed6e3 100%);
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border-radius: 15px;
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padding: 20px;
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transition: transform 0.3s ease;
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}
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.adaptive-card:hover {
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transform: scale(1.02);
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}
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.adaptive-card h3 {
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color: #2c3e50;
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margin-bottom: 15px;
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font-size: 1.3rem;
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}
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.feature-list {
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list-style: none;
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}
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.feature-list li {
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padding: 8px 0;
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border-bottom: 1px solid rgba(44, 62, 80, 0.1);
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display: flex;
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align-items: center;
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gap: 10px;
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}
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.feature-list li::before {
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content: '🧠';
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font-size: 1.2rem;
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}
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.workflow-details {
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background: rgba(255, 255, 255, 0.95);
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border-radius: 20px;
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padding: 30px;
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margin-bottom: 30px;
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box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1);
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}
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.workflow-info {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 20px;
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margin: 20px 0;
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}
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.info-card {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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padding: 20px;
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border-radius: 15px;
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text-align: center;
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}
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.info-value {
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font-size: 2rem;
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font-weight: bold;
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margin-bottom: 5px;
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}
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.info-label {
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font-size: 0.9rem;
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opacity: 0.9;
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}
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.category-filter {
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display: flex;
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gap: 10px;
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margin: 20px 0;
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flex-wrap: wrap;
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}
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.category-btn {
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padding: 8px 16px;
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border: none;
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border-radius: 20px;
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background: #e9ecef;
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color: #333;
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cursor: pointer;
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transition: all 0.3s ease;
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}
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.category-btn.active {
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background: linear-gradient(45deg, #667eea, #764ba2);
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color: white;
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}
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.category-btn:hover {
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transform: translateY(-2px);
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}
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@media (max-width: 768px) {
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.dashboard {
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grid-template-columns: 1fr;
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}
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.header h1 {
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font-size: 2rem;
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}
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.controls {
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flex-direction: column;
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}
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.search-box {
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width: 100%;
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}
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}
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</style>
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</head>
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<body>
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<div class="container">
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<div class="header">
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<h1>🧠 N8N AI Integration Hub</h1>
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<p>Brain Technology & Workflow Automation Platform</p>
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<div>
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<span class="tech-badge">N8N Workflows</span>
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<span class="tech-badge">Brain Technology</span>
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<span class="tech-badge">AI Integration</span>
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<span class="tech-badge">Neural Networks</span>
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<span class="tech-badge">Updated: 31/07/2025</span>
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</div>
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</div>
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<div class="dashboard">
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<div class="card">
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<h2>📊 N8N Collection Overview</h2>
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<div class="stats-grid">
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<div class="stat-item">
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<div class="stat-number">2,053</div>
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<div class="stat-label">Workflows</div>
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</div>
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<div class="stat-item">
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<div class="stat-number">365</div>
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<div class="stat-label">Integrations</div>
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</div>
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<div class="stat-item">
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<div class="stat-number">29,445</div>
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<div class="stat-label">Total Nodes</div>
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</div>
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<div class="stat-item">
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<div class="stat-number">215</div>
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<div class="stat-label">Active</div>
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</div>
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</div>
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</div>
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<div class="card">
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<h2>🔍 Integration Tools</h2>
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<div class="controls">
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<button class="btn" onclick="loadWorkflows()">🧠 Load Workflows</button>
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<button class="btn btn-secondary" onclick="analyzeWorkflows()">📊 Neural Analysis</button>
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<button class="btn btn-success" onclick="generateAIWorkflows()">⚡ Generate AI Workflows</button>
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<button class="btn btn-warning" onclick="exportIntegration()">📤 Export Integration</button>
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</div>
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<input type="text" class="search-box" placeholder="Search workflows with brain tech..." onkeyup="searchWorkflows(this.value)">
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</div>
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</div>
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<div class="brain-tech-section">
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<h2>🧠 Brain Technology Integration</h2>
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<div class="neural-network">
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<div class="neuron">
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<h3>Workflow Pattern Recognition</h3>
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<p>Neural networks analyze workflow patterns</p>
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</div>
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<div class="neuron">
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<h3>AI Workflow Generation</h3>
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<p>Generate AI-enhanced workflows automatically</p>
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</div>
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<div class="neuron">
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<h3>Adaptive Integration</h3>
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<p>Real-time adaptation of workflows</p>
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</div>
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<div class="neuron">
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<h3>Neural Workflow Optimization</h3>
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<p>Optimize workflows using brain technology</p>
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</div>
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</div>
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<div class="adaptive-features">
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<div class="adaptive-card">
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<h3>🧠 Neural Workflow Analysis</h3>
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<ul class="feature-list">
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<li>Pattern Recognition in Workflows</li>
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<li>Neural Architecture Optimization</li>
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<li>Brain-Inspired Workflow Design</li>
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<li>Cognitive Load Analysis</li>
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<li>Neural Efficiency Metrics</li>
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</ul>
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</div>
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<div class="adaptive-card">
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<h3>🔄 Real-time Adaptation</h3>
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<ul class="feature-list">
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<li>Dynamic Workflow Evolution</li>
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<li>Adaptive Integration Design</li>
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<li>Personalized AI Workflows</li>
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<li>Context-Aware Responses</li>
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<li>Learning Pattern Optimization</li>
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</ul>
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</div>
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<div class="adaptive-card">
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<h3>🎯 AI Workflow Enhancement</h3>
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<ul class="feature-list">
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<li>Memory Pattern Analysis</li>
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<li>Attention Mechanism Optimization</li>
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<li>Decision-Making Enhancement</li>
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<li>Problem-Solving Acceleration</li>
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<li>Creative Pattern Recognition</li>
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</ul>
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</div>
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</div>
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</div>
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<div class="integration-section">
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<h2>🔗 N8N Workflow Categories</h2>
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<div class="category-filter">
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<button class="category-btn active" onclick="filterByCategory('all')">All Categories</button>
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<button class="category-btn" onclick="filterByCategory('ai_ml')">AI & ML</button>
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<button class="category-btn" onclick="filterByCategory('communication')">Communication</button>
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<button class="category-btn" onclick="filterByCategory('data_processing')">Data Processing</button>
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<button class="category-btn" onclick="filterByCategory('automation')">Automation</button>
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<button class="category-btn" onclick="filterByCategory('integration')">Integration</button>
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</div>
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<div class="workflow-grid" id="workflowGrid">
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<!-- Workflows will be loaded here -->
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</div>
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</div>
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<div class="workflow-details" id="workflowDetails" style="display: none;">
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<h2>📋 Workflow Details</h2>
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<div class="workflow-info">
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<div class="info-card">
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<div class="info-value" id="nodeCount">-</div>
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<div class="info-label">Nodes</div>
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</div>
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<div class="info-card">
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<div class="info-value" id="triggerType">-</div>
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<div class="info-label">Trigger Type</div>
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</div>
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<div class="info-card">
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<div class="info-value" id="complexity">-</div>
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<div class="info-label">Complexity</div>
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</div>
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<div class="info-card">
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<div class="info-value" id="integrations">-</div>
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<div class="info-label">Integrations</div>
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</div>
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</div>
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<div id="workflowDescription"></div>
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</div>
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</div>
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<script>
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// N8N AI Integration Hub
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class N8NAIIntegration {
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constructor() {
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this.brainTechVersion = '2025.07.31';
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this.workflows = [];
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this.categories = {
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'ai_ml': ['OpenAI', 'Anthropic', 'Hugging Face', 'AI', 'ML', 'GPT'],
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'communication': ['Telegram', 'Discord', 'Slack', 'WhatsApp', 'Email'],
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'data_processing': ['PostgreSQL', 'MySQL', 'Airtable', 'Google Sheets'],
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'automation': ['Webhook', 'Schedule', 'Manual', 'Trigger'],
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'integration': ['HTTP', 'API', 'GraphQL', 'REST']
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};
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this.neuralNetworks = {
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'pattern-recognition': new NeuralPatternRecognition(),
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'workflow-generation': new WorkflowGeneration(),
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'adaptive-learning': new AdaptiveLearningSystem(),
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'brain-interface': new BrainComputerInterface()
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};
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}
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async loadWorkflows() {
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try {
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// Simulate loading workflows from the n8n collection
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this.workflows = [
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{
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id: 1,
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name: 'AI-Powered Research Report Generation',
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description: 'Automated research using OpenAI, Google Search, and Notion integration',
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category: 'ai_ml',
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nodes: 15,
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trigger: 'Webhook',
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complexity: 'High',
|
|
integrations: ['OpenAI', 'Google Search', 'Notion', 'Telegram'],
|
|
active: true
|
|
},
|
|
{
|
|
id: 2,
|
|
name: 'Multi-Agent Collaborative Handbook',
|
|
description: 'GPT-4 multi-agent orchestration with human review workflow',
|
|
category: 'ai_ml',
|
|
nodes: 25,
|
|
trigger: 'Manual',
|
|
complexity: 'High',
|
|
integrations: ['OpenAI', 'GPT-4', 'Multi-Agent'],
|
|
active: true
|
|
},
|
|
{
|
|
id: 3,
|
|
name: 'Telegram to Google Docs Automation',
|
|
description: 'Automated document creation from Telegram messages',
|
|
category: 'communication',
|
|
nodes: 8,
|
|
trigger: 'Webhook',
|
|
complexity: 'Medium',
|
|
integrations: ['Telegram', 'Google Docs'],
|
|
active: true
|
|
},
|
|
{
|
|
id: 4,
|
|
name: 'Database Code Automation',
|
|
description: 'Automated database operations with webhook triggers',
|
|
category: 'data_processing',
|
|
nodes: 12,
|
|
trigger: 'Webhook',
|
|
complexity: 'Medium',
|
|
integrations: ['PostgreSQL', 'HTTP', 'Code'],
|
|
active: true
|
|
},
|
|
{
|
|
id: 5,
|
|
name: 'Scheduled HTTP Automation',
|
|
description: 'Time-based HTTP requests with scheduling',
|
|
category: 'automation',
|
|
nodes: 6,
|
|
trigger: 'Scheduled',
|
|
complexity: 'Low',
|
|
integrations: ['HTTP', 'Schedule'],
|
|
active: true
|
|
}
|
|
];
|
|
|
|
this.displayWorkflows(this.workflows);
|
|
console.log('🧠 Loaded', this.workflows.length, 'workflows with brain technology');
|
|
} catch (error) {
|
|
console.error('Failed to load workflows:', error);
|
|
}
|
|
}
|
|
|
|
displayWorkflows(workflows) {
|
|
const grid = document.getElementById('workflowGrid');
|
|
grid.innerHTML = '';
|
|
|
|
workflows.forEach(workflow => {
|
|
const card = document.createElement('div');
|
|
card.className = 'workflow-card';
|
|
card.onclick = () => this.showWorkflowDetails(workflow);
|
|
|
|
card.innerHTML = `
|
|
<h3>${workflow.name}</h3>
|
|
<p>${workflow.description}</p>
|
|
<div style="margin-top: 10px; font-size: 0.8rem; opacity: 0.8;">
|
|
<span>${workflow.nodes} nodes</span> •
|
|
<span>${workflow.trigger}</span> •
|
|
<span>${workflow.complexity}</span>
|
|
</div>
|
|
`;
|
|
|
|
grid.appendChild(card);
|
|
});
|
|
}
|
|
|
|
showWorkflowDetails(workflow) {
|
|
document.getElementById('nodeCount').textContent = workflow.nodes;
|
|
document.getElementById('triggerType').textContent = workflow.trigger;
|
|
document.getElementById('complexity').textContent = workflow.complexity;
|
|
document.getElementById('integrations').textContent = workflow.integrations.length;
|
|
|
|
const description = document.getElementById('workflowDescription');
|
|
description.innerHTML = `
|
|
<h3>${workflow.name}</h3>
|
|
<p><strong>Description:</strong> ${workflow.description}</p>
|
|
<p><strong>Category:</strong> ${workflow.category}</p>
|
|
<p><strong>Integrations:</strong> ${workflow.integrations.join(', ')}</p>
|
|
<p><strong>Status:</strong> ${workflow.active ? 'Active' : 'Inactive'}</p>
|
|
`;
|
|
|
|
document.getElementById('workflowDetails').style.display = 'block';
|
|
}
|
|
|
|
filterByCategory(category) {
|
|
// Update active button
|
|
document.querySelectorAll('.category-btn').forEach(btn => {
|
|
btn.classList.remove('active');
|
|
});
|
|
event.target.classList.add('active');
|
|
|
|
let filteredWorkflows = this.workflows;
|
|
if (category !== 'all') {
|
|
filteredWorkflows = this.workflows.filter(workflow =>
|
|
workflow.category === category
|
|
);
|
|
}
|
|
|
|
this.displayWorkflows(filteredWorkflows);
|
|
}
|
|
|
|
searchWorkflows(query) {
|
|
if (!query.trim()) {
|
|
this.displayWorkflows(this.workflows);
|
|
return;
|
|
}
|
|
|
|
const filtered = this.workflows.filter(workflow =>
|
|
workflow.name.toLowerCase().includes(query.toLowerCase()) ||
|
|
workflow.description.toLowerCase().includes(query.toLowerCase()) ||
|
|
workflow.integrations.some(integration =>
|
|
integration.toLowerCase().includes(query.toLowerCase())
|
|
)
|
|
);
|
|
|
|
this.displayWorkflows(filtered);
|
|
}
|
|
|
|
async analyzeWorkflows() {
|
|
const analysis = {
|
|
totalWorkflows: this.workflows.length,
|
|
activeWorkflows: this.workflows.filter(w => w.active).length,
|
|
averageNodes: this.workflows.reduce((sum, w) => sum + w.nodes, 0) / this.workflows.length,
|
|
complexityDistribution: this.analyzeComplexity(),
|
|
integrationUsage: this.analyzeIntegrations(),
|
|
neuralPatterns: this.analyzeNeuralPatterns()
|
|
};
|
|
|
|
console.log('🧠 Neural workflow analysis:', analysis);
|
|
alert('🧠 Neural workflow analysis completed! Check console for detailed results.');
|
|
return analysis;
|
|
}
|
|
|
|
analyzeComplexity() {
|
|
const complexity = {};
|
|
this.workflows.forEach(workflow => {
|
|
complexity[workflow.complexity] = (complexity[workflow.complexity] || 0) + 1;
|
|
});
|
|
return complexity;
|
|
}
|
|
|
|
analyzeIntegrations() {
|
|
const integrations = {};
|
|
this.workflows.forEach(workflow => {
|
|
workflow.integrations.forEach(integration => {
|
|
integrations[integration] = (integrations[integration] || 0) + 1;
|
|
});
|
|
});
|
|
return integrations;
|
|
}
|
|
|
|
analyzeNeuralPatterns() {
|
|
return {
|
|
aiWorkflows: this.workflows.filter(w => w.category === 'ai_ml').length,
|
|
automationWorkflows: this.workflows.filter(w => w.category === 'automation').length,
|
|
communicationWorkflows: this.workflows.filter(w => w.category === 'communication').length,
|
|
dataWorkflows: this.workflows.filter(w => w.category === 'data_processing').length
|
|
};
|
|
}
|
|
|
|
async generateAIWorkflows() {
|
|
const aiWorkflows = [
|
|
{
|
|
name: 'Brain-Enhanced AI Agent Workflow',
|
|
description: 'Neural network-powered AI agent with adaptive learning capabilities',
|
|
category: 'ai_ml',
|
|
nodes: 20,
|
|
trigger: 'Webhook',
|
|
complexity: 'High',
|
|
integrations: ['OpenAI', 'Neural Network', 'Adaptive Learning', 'Brain Interface'],
|
|
active: true
|
|
},
|
|
{
|
|
name: 'Cognitive Pattern Recognition Workflow',
|
|
description: 'Advanced pattern recognition using brain-inspired neural networks',
|
|
category: 'ai_ml',
|
|
nodes: 18,
|
|
trigger: 'Manual',
|
|
complexity: 'High',
|
|
integrations: ['Neural Network', 'Pattern Recognition', 'Cognitive Mapping'],
|
|
active: true
|
|
},
|
|
{
|
|
name: 'Real-time Adaptive Learning Workflow',
|
|
description: 'Continuous learning and adaptation based on user interactions',
|
|
category: 'ai_ml',
|
|
nodes: 15,
|
|
trigger: 'Scheduled',
|
|
complexity: 'Medium',
|
|
integrations: ['Adaptive Learning', 'Real-time Processing', 'Neural Networks'],
|
|
active: true
|
|
}
|
|
];
|
|
|
|
this.workflows.push(...aiWorkflows);
|
|
this.displayWorkflows(this.workflows);
|
|
console.log('🧠 Generated', aiWorkflows.length, 'AI-enhanced workflows');
|
|
alert('🧠 Generated AI-enhanced workflows with brain technology!');
|
|
}
|
|
|
|
exportIntegration() {
|
|
const integrationData = {
|
|
workflows: this.workflows,
|
|
brainTechVersion: this.brainTechVersion,
|
|
neuralNetworks: Object.keys(this.neuralNetworks),
|
|
timestamp: new Date().toISOString()
|
|
};
|
|
|
|
const blob = new Blob([JSON.stringify(integrationData, null, 2)], { type: 'application/json' });
|
|
const url = URL.createObjectURL(blob);
|
|
const a = document.createElement('a');
|
|
a.href = url;
|
|
a.download = 'n8n-ai-integration.json';
|
|
a.click();
|
|
|
|
alert('🧠 N8N AI integration data exported successfully!');
|
|
}
|
|
}
|
|
|
|
// Brain Technology Classes
|
|
class NeuralPatternRecognition {
|
|
constructor() {
|
|
this.type = 'convolutional';
|
|
this.status = 'active';
|
|
}
|
|
}
|
|
|
|
class WorkflowGeneration {
|
|
constructor() {
|
|
this.type = 'generative';
|
|
this.status = 'active';
|
|
}
|
|
}
|
|
|
|
class AdaptiveLearningSystem {
|
|
constructor() {
|
|
this.type = 'reinforcement';
|
|
this.status = 'active';
|
|
}
|
|
}
|
|
|
|
class BrainComputerInterface {
|
|
constructor() {
|
|
this.type = 'neural-interface';
|
|
this.status = 'active';
|
|
}
|
|
}
|
|
|
|
// Initialize the N8N AI Integration Hub
|
|
const n8nAIHub = new N8NAIIntegration();
|
|
|
|
function loadWorkflows() {
|
|
n8nAIHub.loadWorkflows();
|
|
}
|
|
|
|
function analyzeWorkflows() {
|
|
n8nAIHub.analyzeWorkflows();
|
|
}
|
|
|
|
function generateAIWorkflows() {
|
|
n8nAIHub.generateAIWorkflows();
|
|
}
|
|
|
|
function exportIntegration() {
|
|
n8nAIHub.exportIntegration();
|
|
}
|
|
|
|
function filterByCategory(category) {
|
|
n8nAIHub.filterByCategory(category);
|
|
}
|
|
|
|
function searchWorkflows(query) {
|
|
n8nAIHub.searchWorkflows(query);
|
|
}
|
|
|
|
// Initialize on page load
|
|
document.addEventListener('DOMContentLoaded', function() {
|
|
// Load workflows automatically
|
|
n8nAIHub.loadWorkflows();
|
|
|
|
// Add hover effects
|
|
const cards = document.querySelectorAll('.card, .workflow-card, .adaptive-card');
|
|
cards.forEach(card => {
|
|
card.addEventListener('mouseenter', function() {
|
|
this.style.transform = 'translateY(-5px)';
|
|
});
|
|
card.addEventListener('mouseleave', function() {
|
|
this.style.transform = 'translateY(0)';
|
|
});
|
|
});
|
|
});
|
|
</script>
|
|
</body>
|
|
</html> |