face

File size: 20,747 Bytes

2c6864e

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>🎭 AI Emotion Detector | koyelog</title>
    
    <!-- Fonts -->
    <link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&display=swap" rel="stylesheet">
    
    <!-- Font Awesome for icons -->
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
    
    <style>
        * {
            margin: 0;
            padding: 0;
            box-sizing: border-box;
        }

        body {
            font-family: 'Poppins', sans-serif;
            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
            min-height: 100vh;
            padding: 20px;
            color: #333;
        }

        .container {
            max-width: 1200px;
            margin: 0 auto;
        }

        /* Header */
        .header {
            text-align: center;
            color: white;
            padding: 40px 20px;
            margin-bottom: 40px;
            animation: fadeInDown 0.8s ease;
        }

        .header h1 {
            font-size: 3.5rem;
            font-weight: 700;
            margin-bottom: 15px;
            text-shadow: 2px 2px 4px rgba(0,0,0,0.2);
        }

        .header p {
            font-size: 1.2rem;
            opacity: 0.95;
        }

        .badge {
            display: inline-block;
            background: rgba(255,255,255,0.2);
            padding: 8px 20px;
            border-radius: 20px;
            margin: 10px 5px;
            font-size: 0.9rem;
            backdrop-filter: blur(10px);
        }

        /* Main Card */
        .main-card {
            background: white;
            border-radius: 25px;
            box-shadow: 0 20px 60px rgba(0,0,0,0.2);
            overflow: hidden;
            animation: fadeInUp 0.8s ease;
        }

        /* Tabs */
        .tabs {
            display: flex;
            background: #f8f9fa;
            border-bottom: 2px solid #e9ecef;
        }

        .tab-button {
            flex: 1;
            padding: 20px;
            border: none;
            background: transparent;
            font-size: 1.1rem;
            font-weight: 600;
            cursor: pointer;
            transition: all 0.3s ease;
            color: #666;
        }

        .tab-button:hover {
            background: rgba(102, 126, 234, 0.1);
        }

        .tab-button.active {
            background: white;
            color: #667eea;
            border-bottom: 3px solid #667eea;
        }

        .tab-button i {
            margin-right: 10px;
        }

        /* Tab Content */
        .tab-content {
            display: none;
            padding: 40px;
            animation: fadeIn 0.5s ease;
        }

        .tab-content.active {
            display: block;
        }

        /* Upload Section */
        .upload-section {
            display: grid;
            grid-template-columns: 1fr 1fr;
            gap: 30px;
            margin-bottom: 30px;
        }

        .upload-area {
            border: 3px dashed #667eea;
            border-radius: 20px;
            padding: 40px;
            text-align: center;
            cursor: pointer;
            transition: all 0.3s ease;
            background: #f8f9fa;
        }

        .upload-area:hover {
            background: #e9ecef;
            border-color: #764ba2;
            transform: translateY(-5px);
        }

        .upload-area i {
            font-size: 4rem;
            color: #667eea;
            margin-bottom: 20px;
        }

        .upload-area input[type="file"] {
            display: none;
        }

        /* Webcam */
        #webcam-video, #preview-image {
            width: 100%;
            border-radius: 15px;
            box-shadow: 0 4px 16px rgba(0,0,0,0.1);
        }

        .button {
            display: inline-block;
            padding: 15px 40px;
            margin: 10px 5px;
            border: none;
            border-radius: 50px;
            font-size: 1.1rem;
            font-weight: 600;
            cursor: pointer;
            transition: all 0.3s ease;
            box-shadow: 0 4px 15px rgba(0,0,0,0.2);
        }

        .button-primary {
            background: linear-gradient(135deg, #667eea, #764ba2);
            color: white;
        }

        .button-primary:hover {
            transform: translateY(-3px);
            box-shadow: 0 6px 20px rgba(102, 126, 234, 0.4);
        }

        .button-secondary {
            background: #6c757d;
            color: white;
        }

        .button-secondary:hover {
            background: #5a6268;
        }

        /* Result Section */
        .result-section {
            background: linear-gradient(135deg, #f8f9fa, #e9ecef);
            border-radius: 20px;
            padding: 30px;
            margin-top: 30px;
            display: none;
            animation: fadeIn 0.5s ease;
        }

        .result-section.show {
            display: block;
        }

        .emotion-result {
            text-align: center;
            padding: 40px;
            background: white;
            border-radius: 20px;
            margin-bottom: 30px;
            box-shadow: 0 4px 16px rgba(0,0,0,0.1);
        }

        .emotion-emoji {
            font-size: 120px;
            animation: bounce 1s ease infinite;
        }

        .emotion-name {
            font-size: 3rem;
            font-weight: 700;
            margin: 20px 0;
        }

        .confidence-bar {
            width: 100%;
            height: 40px;
            background: #e9ecef;
            border-radius: 20px;
            overflow: hidden;
            margin: 20px 0;
            box-shadow: inset 0 2px 4px rgba(0,0,0,0.1);
        }

        .confidence-fill {
            height: 100%;
            background: linear-gradient(90deg, #667eea, #764ba2);
            display: flex;
            align-items: center;
            justify-content: center;
            color: white;
            font-weight: 600;
            transition: width 1s ease;
        }

        /* All Emotions List */
        .emotions-list {
            background: white;
            padding: 25px;
            border-radius: 15px;
            box-shadow: 0 4px 16px rgba(0,0,0,0.1);
        }

        .emotion-item {
            display: flex;
            align-items: center;
            justify-content: space-between;
            padding: 15px;
            margin: 10px 0;
            background: #f8f9fa;
            border-radius: 10px;
            transition: all 0.3s ease;
        }

        .emotion-item:hover {
            background: #e9ecef;
            transform: translateX(5px);
        }

        .emotion-label {
            display: flex;
            align-items: center;
            gap: 15px;
            font-weight: 500;
        }

        .emotion-label span {
            font-size: 2rem;
        }

        .emotion-bar {
            width: 200px;
            height: 10px;
            background: #e9ecef;
            border-radius: 5px;
            overflow: hidden;
        }

        .emotion-bar-fill {
            height: 100%;
            transition: width 0.5s ease;
        }

        /* Animations */
        @keyframes fadeInDown {
            from {
                opacity: 0;
                transform: translateY(-30px);
            }
            to {
                opacity: 1;
                transform: translateY(0);
            }
        }

        @keyframes fadeInUp {
            from {
                opacity: 0;
                transform: translateY(30px);
            }
            to {
                opacity: 1;
                transform: translateY(0);
            }
        }

        @keyframes fadeIn {
            from { opacity: 0; }
            to { opacity: 1; }
        }

        @keyframes bounce {
            0%, 100% { transform: translateY(0); }
            50% { transform: translateY(-20px); }
        }

        /* Loading Spinner */
        .loading {
            display: none;
            text-align: center;
            padding: 40px;
        }

        .loading.show {
            display: block;
        }

        .spinner {
            border: 5px solid #f3f3f3;
            border-top: 5px solid #667eea;
            border-radius: 50%;
            width: 60px;
            height: 60px;
            animation: spin 1s linear infinite;
            margin: 0 auto 20px;
        }

        @keyframes spin {
            0% { transform: rotate(0deg); }
            100% { transform: rotate(360deg); }
        }

        /* Footer */
        .footer {
            text-align: center;
            color: white;
            padding: 40px 20px;
            margin-top: 40px;
            background: rgba(0,0,0,0.2);
            border-radius: 20px;
            backdrop-filter: blur(10px);
        }

        .footer a {
            color: white;
            text-decoration: underline;
        }

        /* Responsive */
        @media (max-width: 768px) {
            .header h1 {
                font-size: 2.5rem;
            }

            .upload-section {
                grid-template-columns: 1fr;
            }

            .tabs {
                flex-direction: column;
            }

            .emotion-name {
                font-size: 2rem;
            }

            .emotion-emoji {
                font-size: 80px;
            }
        }
    </style>
</head>
<body>
    <div class="container">
        <!-- Header -->
        <div class="header">
            <h1>🎭 AI Emotion Detector</h1>
            <p>Powered by Vision Transformer | 98.80% Accuracy</p>
            <div>
                <span class="badge">Model: koyelog/face</span>
                <span class="badge">7 Emotions</span>
                <span class="badge">Real-time Detection</span>
            </div>
        </div>

        <!-- Main Card -->
        <div class="main-card">
            <!-- Tabs -->
            <div class="tabs">
                <button class="tab-button active" onclick="switchTab('webcam')">
                    <i class="fas fa-video"></i> Live Webcam
                </button>
                <button class="tab-button" onclick="switchTab('upload')">
                    <i class="fas fa-upload"></i> Upload Image
                </button>
            </div>

            <!-- Webcam Tab -->
            <div id="webcam-tab" class="tab-content active">
                <h2 style="text-align: center; margin-bottom: 30px;">
                    <i class="fas fa-camera"></i> Capture Your Emotion
                </h2>

                <div class="upload-section">
                    <div>
                        <video id="webcam-video" autoplay playsinline></video>
                        <canvas id="webcam-canvas" style="display: none;"></canvas>
                        <div style="text-align: center; margin-top: 20px;">
                            <button class="button button-primary" onclick="startWebcam()">
                                <i class="fas fa-play"></i> Start Webcam
                            </button>
                            <button class="button button-secondary" onclick="captureAndDetect()">
                                <i class="fas fa-camera"></i> Capture & Detect
                            </button>
                        </div>
                    </div>
                    <div id="webcam-result"></div>
                </div>
            </div>

            <!-- Upload Tab -->
            <div id="upload-tab" class="tab-content">
                <h2 style="text-align: center; margin-bottom: 30px;">
                    <i class="fas fa-cloud-upload-alt"></i> Upload Face Image
                </h2>

                <div class="upload-section">
                    <div>
                        <div class="upload-area" onclick="document.getElementById('file-input').click()">
                            <i class="fas fa-image"></i>
                            <h3>Click to Upload</h3>
                            <p>or drag & drop your image here</p>
                            <p style="color: #999; margin-top: 10px;">Supports: JPG, PNG, JPEG</p>
                            <input type="file" id="file-input" accept="image/*" onchange="handleFileUpload(event)">
                        </div>
                        <img id="preview-image" style="display: none; margin-top: 20px;">
                    </div>
                    <div id="upload-result"></div>
                </div>
            </div>

            <!-- Loading -->
            <div id="loading" class="loading">
                <div class="spinner"></div>
                <p>Analyzing emotion...</p>
            </div>
        </div>

        <!-- Footer -->
        <div class="footer">
            <h3>📊 Model Information</h3>
            <p><strong>Model:</strong> koyelog/face | <strong>Architecture:</strong> Vision Transformer (ViT)</p>
            <p><strong>Parameters:</strong> 85.8M | <strong>Training Accuracy:</strong> 99.29% | <strong>Validation Accuracy:</strong> 98.80%</p>
            <p><strong>Emotions:</strong> 😠 Angry | 🤢 Disgust | 😨 Fear | 😊 Happy | 😢 Sad | 😲 Surprise | 😐 Neutral</p>
            <p style="margin-top: 20px;">
                Created by <strong>Koyeliya Ghosh</strong> | 
                <a href="https://huggingface.co/koyelog/face" target="_blank">View Model on HuggingFace</a>
            </p>
        </div>
    </div>

    <script>
        // Configuration
        const API_URL = 'YOUR_HUGGINGFACE_SPACE_URL/api/predict';  // Update this!
        
        const EMOTIONS = {
            0: { name: 'Angry', emoji: '😠', color: '#ff4444' },
            1: { name: 'Disgust', emoji: '🤢', color: '#44ff44' },
            2: { name: 'Fear', emoji: '😨', color: '#9944ff' },
            3: { name: 'Happy', emoji: '😊', color: '#ffdd44' },
            4: { name: 'Sad', emoji: '😢', color: '#4444ff' },
            5: { name: 'Surprise', emoji: '😲', color: '#ff44ff' },
            6: { name: 'Neutral', emoji: '😐', color: '#888888' }
        };

        let webcamStream = null;

        // Tab switching
        function switchTab(tab) {
            document.querySelectorAll('.tab-button').forEach(btn => btn.classList.remove('active'));
            document.querySelectorAll('.tab-content').forEach(content => content.classList.remove('active'));
            
            if (tab === 'webcam') {
                document.querySelector('.tab-button:first-child').classList.add('active');
                document.getElementById('webcam-tab').classList.add('active');
            } else {
                document.querySelector('.tab-button:last-child').classList.add('active');
                document.getElementById('upload-tab').classList.add('active');
            }
        }

        // Start webcam
        async function startWebcam() {
            try {
                webcamStream = await navigator.mediaDevices.getUserMedia({ 
                    video: { facingMode: 'user' } 
                });
                document.getElementById('webcam-video').srcObject = webcamStream;
            } catch (error) {
                alert('Error accessing webcam: ' + error.message);
            }
        }

        // Capture and detect from webcam
        function captureAndDetect() {
            const video = document.getElementById('webcam-video');
            const canvas = document.getElementById('webcam-canvas');
            
            canvas.width = video.videoWidth;
            canvas.height = video.videoHeight;
            canvas.getContext('2d').drawImage(video, 0, 0);
            
            canvas.toBlob(blob => {
                detectEmotion(blob, 'webcam-result');
            }, 'image/jpeg');
        }

        // Handle file upload
        function handleFileUpload(event) {
            const file = event.target.files[0];
            if (!file) return;

            const reader = new FileReader();
            reader.onload = (e) => {
                const preview = document.getElementById('preview-image');
                preview.src = e.target.result;
                preview.style.display = 'block';
                
                detectEmotion(file, 'upload-result');
            };
            reader.readAsDataURL(file);
        }

        // Detect emotion (mock function - replace with API call)
        async function detectEmotion(imageBlob, resultId) {
            document.getElementById('loading').classList.add('show');
            
            // Simulate API call (replace with actual fetch to your backend)
            setTimeout(() => {
                const mockResult = {
                    predicted_id: 3,  // Happy
                    confidence: 0.87,
                    probabilities: [0.02, 0.01, 0.03, 0.87, 0.04, 0.02, 0.01]
                };
                
                displayResult(mockResult, resultId);
                document.getElementById('loading').classList.remove('show');
            }, 2000);
            
            /* 
            // Uncomment this for real API call:
            const formData = new FormData();
            formData.append('file', imageBlob);
            
            try {
                const response = await fetch(API_URL, {
                    method: 'POST',
                    body: formData
                });
                const result = await response.json();
                displayResult(result, resultId);
            } catch (error) {
                alert('Error: ' + error.message);
            } finally {
                document.getElementById('loading').classList.remove('show');
            }
            */
        }

        // Display result
        function displayResult(result, containerId) {
            const emotion = EMOTIONS[result.predicted_id];
            const confidence = (result.confidence * 100).toFixed(2);
            
            let html = `
                <div class="emotion-result" style="background: linear-gradient(135deg, ${emotion.color}15, ${emotion.color}30);">
                    <div class="emotion-emoji">${emotion.emoji}</div>
                    <div class="emotion-name" style="color: ${emotion.color};">${emotion.name}</div>
                    <p style="font-size: 1.5rem; color: #666;">Confidence: ${confidence}%</p>
                    <div class="confidence-bar">
                        <div class="confidence-fill" style="width: ${confidence}%; background: ${emotion.color};">
                            ${confidence}%
                        </div>
                    </div>
                </div>

                <div class="emotions-list">
                    <h3 style="margin-bottom: 20px;">📊 All Emotions</h3>
            `;

            result.probabilities.forEach((prob, idx) => {
                const emo = EMOTIONS[idx];
                const percentage = (prob * 100).toFixed(1);
                html += `
                    <div class="emotion-item">
                        <div class="emotion-label">
                            <span>${emo.emoji}</span>
                            <strong>${emo.name}</strong>
                        </div>
                        <div style="display: flex; align-items: center; gap: 15px;">
                            <div class="emotion-bar">
                                <div class="emotion-bar-fill" style="width: ${percentage}%; background: ${emo.color};"></div>
                            </div>
                            <span style="font-weight: 600; min-width: 50px;">${percentage}%</span>
                        </div>
                    </div>
                `;
            });

            html += '</div>';
            document.getElementById(containerId).innerHTML = html;
        }

        // Drag and drop
        const uploadArea = document.querySelector('.upload-area');
        
        uploadArea.addEventListener('dragover', (e) => {
            e.preventDefault();
            uploadArea.style.background = '#e9ecef';
        });

        uploadArea.addEventListener('dragleave', () => {
            uploadArea.style.background = '#f8f9fa';
        });

        uploadArea.addEventListener('drop', (e) => {
            e.preventDefault();
            uploadArea.style.background = '#f8f9fa';
            
            const file = e.dataTransfer.files[0];
            if (file && file.type.startsWith('image/')) {
                const event = { target: { files: [file] } };
                handleFileUpload(event);
            }
        });
    </script>
</body>
</html>