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<!DOCTYPE html>
<html lang="fr">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>FaceAI Pro - Reconnaissance Faciale Avancée</title>
    <link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/tailwind.min.css" rel="stylesheet">
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.2.0/css/all.min.css">
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/animate.css/4.1.1/animate.min.css">
    <style>
        :root {
            --primary-color: #4f46e5;
            --secondary-color: #3b82f6;
        }

        /* Animations */
        @keyframes pulse-border {
            0% { box-shadow: 0 0 0 0 rgba(var(--primary-color), 0.7); }
            70% { box-shadow: 0 0 0 10px rgba(var(--primary-color), 0); }
            100% { box-shadow: 0 0 0 0 rgba(var(--primary-color), 0); }
        }

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

        /* Composants */
        .preview-container {
            position: relative;
            aspect-ratio: 1;
            background: #f8fafc;
            border-radius: 1rem;
            overflow: hidden;
            transition: all 0.3s ease;
        }

        .preview-image {
            position: absolute;
            top: 0;
            left: 0;
            width: 100%;
            height: 100%;
            background-size: cover;
            background-position: center;
            transition: transform 0.3s ease;
        }

        .preview-container:hover .preview-image {
            transform: scale(1.05);
        }

        .delete-btn {
            position: absolute;
            bottom: 0.5rem;
            right: 0.5rem;
            background-color: rgba(239, 68, 68, 0.8); /* Red-500 with opacity */
            color: white;
            padding: 0.3rem;
            border-radius: 50%;
            opacity: 0;
            transition: opacity 0.3s ease;
            cursor: pointer;
            z-index: 10;
        }

        .preview-container:hover .delete-btn {
            opacity: 1;
        }

        .loading-overlay {
            position: fixed;
            top: 0;
            left: 0;
            width: 100%;
            height: 100%;
            background: rgba(0, 0, 0, 0.7);
            display: none;
            justify-content: center;
            align-items: center;
            z-index: 1000;
        }

        .progress-ring {
            animation: spin 2s linear infinite;
            width: 50px;
            height: 50px;
        }

        .btn-primary {
            background: linear-gradient(135deg, var(--primary-color), var(--secondary-color));
            transition: all 0.3s ease;
            animation: pulse-border 2s infinite;
            font-weight: 600;
        }

        .btn-primary:hover {
            transform: translateY(-2px);
            box-shadow: 0 4px 12px rgba(var(--primary-color), 0.4);
        }

        .result-card {
            transition: all 0.3s ease;
            transform-origin: center;
        }

        .result-card.show {
            animation: bounceIn 0.6s;
        }

        .camera-feed {
            border-radius: 1rem;
            transform: scaleX(-1);
            transition: all 0.3s ease;
        }

        .github-corner {
            position: fixed;
            top: 0;
            right: 0;
            width: 80px;
            height: 80px;
            transition: transform 0.3s ease;
            z-index: 1001; /* Ensure it's above the loading overlay */
        }

        .github-corner:hover {
            transform: scale(1.1);
        }

        /* Nouvelles classes */
        .section-title {
            font-size: 1.5rem;
            font-weight: 700;
            color: #374151;
            margin-bottom: 1.5rem;
            display: flex;
            align-items: center;
        }

        .section-title i {
            color: var(--primary-color);
            margin-right: 0.75rem;
        }

        .input-hidden {
            display: none;
        }

        .comparison-result {
            font-size: 1.1rem;
            margin-bottom: 0.5rem;
        }

        .comparison-result.positive {
            color: #28a745; /* Green */
        }

        .comparison-result.negative {
            color: #dc3545; /* Red */
        }

        .progress-bar {
            height: 0.75rem;
            background-color: #e0e7ff;
            border-radius: 0.375rem;
            margin-bottom: 1rem;
            overflow: hidden;
        }

        .progress-bar-fill {
            height: 100%;
            background-color: var(--primary-color);
            width: 0%;
            transition: width 0.5s ease;
        }

        .progress-bar-fill.show {
            animation: progress-animation 2s ease-in-out;
        }

        @keyframes progress-animation {
            0% { width: 0%; }
            100% { width: var(--progress-value, 0%); }
        }

        /* Description du projet */
        .project-description {
            background-color: #f9fafb;
            padding: 2rem;
            border-radius: 0.5rem;
            margin-bottom: 2rem;
        }

        .project-description h2 {
            font-size: 1.875rem;
            font-weight: 700;
            color: #374151;
            margin-bottom: 1rem;
        }

        .project-description p {
            font-size: 1rem;
            color: #4b5563;
            line-height: 1.6;
        }

        .project-description ul {
            list-style-type: disc;
            margin-left: 1.5rem;
            color: #4b5563;
            margin-top: 1rem;
        }

        .project-description ul li {
            margin-bottom: 0.5rem;
        }
        .tech-used{
            margin-top: 0.5rem;
        }

        /* Responsiveness */
        @media (max-width: 768px) {
            .preview-container {
                margin-bottom: 1rem;
            }
            .project-description{
                margin-bottom: 1rem;
            }
        }
    </style>
</head>
<body class="bg-gradient-to-br from-gray-100 to-gray-200 min-h-screen font-sans">
    <div class="loading-overlay">
        <svg class="progress-ring text-blue-500" viewBox="0 0 50 50">
            <circle cx="25" cy="25" r="20" fill="none" stroke="currentColor" stroke-width="5" stroke-dasharray="80, 200"/>
        </svg>
    </div>

    <!-- Navigation -->
    <nav class="bg-white shadow-lg">
        <div class="container mx-auto px-6 py-4">
            <div class="flex items-center justify-between">
                <div class="flex items-center">
                    <i class="fas fa-brain text-4xl text-blue-600 mr-3"></i>
                    <a href="/" class="text-2xl font-bold text-gray-800 hover:text-blue-700 transition-colors">FaceAI Pro</a>
                </div>
                <div class="flex items-center space-x-4">
                    <a href="#" class="text-gray-600 hover:text-blue-600 transition-colors">
                        <i class="fas fa-question-circle text-xl"></i>
                    </a>
                    <a href="#" class="text-gray-600 hover:text-blue-600 transition-colors">
                        <i class="fas fa-cog text-xl"></i>
                    </a>
                </div>
            </div>
        </div>
    </nav>

    <!-- Contenu principal -->
    <main class="container mx-auto p-6">
        <!-- Description du projet -->
        <div class="project-description">
            <h2 class="text-3xl font-bold text-gray-800 mb-4">FaceAI Pro - Reconnaissance Faciale Avancée</h2>
            <p>
                FaceAI Pro est une application web de démonstration qui permet de comparer deux visages et de déterminer leur degré de similarité. 
                Elle utilise des technologies de pointe en matière de reconnaissance faciale pour fournir des résultats rapides et précis.
            </p>
            <p>
                Cette application est idéale pour explorer les capacités de la reconnaissance faciale et comprendre son fonctionnement.
                Elle peut être utilisée à des fins de test, d'apprentissage ou de développement.
            </p>
            <h3 class="text-xl font-bold text-gray-800 mt-6 mb-2">Fonctionnalités :</h3>
            <ul>
                <li>Comparaison de deux images contenant des visages.</li>
                <li>Détection automatique des visages dans les images.</li>
                <li>Calcul du pourcentage de similarité entre les visages détectés.</li>
                <li>Possibilité d'utiliser la caméra de l'appareil pour capturer des images.</li>
                <li>Interface utilisateur intuitive et facile à utiliser.</li>
            </ul>
            <h3 class="text-xl font-bold text-gray-800 mt-6 mb-2">Technologies utilisées :</h3>
            <ul>
                <li>
                    <strong>Backend :</strong> <a href="https://flask.palletsprojects.com/" target="_blank" class="text-blue-600 hover:underline">Flask</a> (framework web Python)
                </li>
                <li>
                    <strong>Reconnaissance faciale :</strong> <a href="https://github.com/serengil/deepface" target="_blank" class="text-blue-600 hover:underline">DeepFace</a> (librairie Python)
                    <ul class="tech-used">
                        <li>
                            Modèle par défaut : <strong>VGG-Face</strong>
                        </li>
                        <li>
                            Détecteur de visage par défaut : <strong>RetinaFace</strong>
                        </li>
                        <li>
                            Métrique de distance : <strong>Cosine</strong>
                        </li>
                    </ul>
                </li>
                <li>
                    <strong>Frontend :</strong> HTML, CSS (avec <a href="https://tailwindcss.com/" target="_blank" class="text-blue-600 hover:underline">Tailwind CSS</a> pour un style rapide), JavaScript
                </li>
                <li>
                    <strong>Icônes :</strong> <a href="https://fontawesome.com/" target="_blank" class="text-blue-600 hover:underline">Font Awesome</a>
                </li>
                <li>
                    <strong>Animations :</strong> <a href="https://animate.style/" target="_blank" class="text-blue-600 hover:underline">Animate.css</a>
                </li>
            </ul>
        </div>
        <div class="grid md:grid-cols-2 gap-8">
            <!-- Section de capture -->
            <div class="bg-white rounded-xl shadow-xl p-6 animate__animated animate__fadeInLeft">
                <h2 class="section-title">
                    <i class="fas fa-camera"></i>
                    Capture d'Images
                </h2>
                
                <div class="space-y-4">
                    <div class="flex space-x-4">
                        <label for="fileInput" class="btn-primary text-white px-6 py-3 rounded-lg flex items-center cursor-pointer">
                            <i class="fas fa-upload mr-2"></i>
                            Importer
                        </label>
                        <button id="cameraBtn" class="bg-green-500 hover:bg-green-600 text-white px-6 py-3 rounded-lg flex items-center transition-all">
                            <i class="fas fa-video mr-2"></i>
                            Caméra
                        </button>
                    </div>

                    <input type="file" id="fileInput" class="input-hidden" accept="image/*" multiple>
                    <video id="video" class="camera-feed w-full hidden" autoplay muted playsinline></video>

                    <div class="grid grid-cols-2 gap-4">
                        <div class="preview-container">
                            <div id="preview1" class="preview-image"></div>
                            <button class="delete-btn" data-target="preview1" title="Supprimer">
                                <i class="fas fa-times"></i>
                            </button>
                        </div>
                        <div class="preview-container">
                            <div id="preview2" class="preview-image"></div>
                            <button class="delete-btn" data-target="preview2" title="Supprimer">
                                <i class="fas fa-times"></i>
                            </button>
                        </div>
                    </div>
                </div>
            </div>

            <!-- Section des résultats -->
            <div class="bg-white rounded-xl shadow-xl p-6 animate__animated animate__fadeInRight">
                <h2 class="section-title">
                    <i class="fas fa-chart-bar"></i>
                    Résultats
                </h2>

                <div id="results" class="result-card p-4 rounded-lg bg-gray-50">
                    <div class="text-center text-gray-500">
                        <i class="fas fa-upload text-4xl mb-3"></i>
                        <p>Importez ou capturez deux images pour démarrer l'analyse.</p>
                    </div>
                </div>

                <button id="compareBtn" class="btn-primary w-full mt-6 py-3 rounded-lg text-white font-semibold hidden">
                    <i class="fas fa-sync-alt mr-2"></i>
                    Lancer la comparaison
                </button>
            </div>
        </div>
    </main>

    <!-- GitHub Corner -->
    <a href="https://github.com/Yusufibin" class="github-corner" target="_blank" aria-label="Voir le code source sur GitHub">
        <svg width="80" height="80" viewBox="0 0 250 250" style="fill:var(--primary-color); color:#fff;">
            <path d="M0,0 L115,115 L130,115 L142,142 L250,250 L250,0 Z"></path>
            <path d="M128.3,109.0 C113.8,99.7 119.0,89.6 119.0,89.6 C122.0,82.7 120.5,78.6 120.5,78.6 C119.2,72.0 123.4,76.3 123.4,76.3 C127.3,80.9 125.5,87.3 125.5,87.3 C122.9,97.6 130.6,101.9 134.4,103.2" fill="currentColor" style="transform-origin: 130px 106px;" class="octo-arm"></path>
            <path d="M115.0,115.0 C114.9,115.1 118.7,116.5 119.8,115.4 L133.7,101.6 C136.9,99.2 139.9,98.4 142.2,98.6 C133.8,88.0 127.5,74.4 143.8,58.0 C148.5,53.4 154.0,51.2 159.7,51.0 C160.3,49.4 163.2,43.6 171.4,40.1 C171.4,40.1 176.1,42.5 178.8,56.2 C183.1,58.6 187.2,61.8 190.9,65.4 C194.5,69.0 197.7,73.2 200.1,77.6 C213.8,80.2 216.3,84.9 216.3,84.9 C212.7,93.1 206.9,96.0 205.4,96.6 C205.1,102.4 203.0,107.8 198.3,112.5 C181.9,128.9 168.3,122.5 157.7,114.1 C157.9,116.9 156.7,120.9 152.7,124.9 L141.0,136.5 C139.8,137.7 141.6,141.9 141.8,141.8 Z" fill="currentColor" class="octo-body"></path>
        </svg>
    </a>

    <!-- Script JavaScript -->
    <script>
        let uploadedImages = [];

        const fileInput = document.getElementById('fileInput');
        fileInput.addEventListener('change', handleImageUpload);

        function handleImageUpload(event) {
            const files = event.target.files;
            for (let i = 0; i < files.length; i++) {
                const file = files[i];
                if (uploadedImages.length < 2 && file.type.startsWith('image/')) {
                    const reader = new FileReader();
                    reader.onload = (e) => {
                        const previewId = uploadedImages.length === 0 ? 'preview1' : 'preview2';
                        const previewImg = document.getElementById(previewId);
                        previewImg.style.backgroundImage = `url(${e.target.result})`;
                        uploadedImages.push({ file: file, preview: previewId });
                        updateCompareButtonState();
                    };
                    reader.readAsDataURL(file);
                }
            }
        }

        document.querySelectorAll('.delete-btn').forEach(button => {
            button.addEventListener('click', function() {
                const targetPreviewId = this.dataset.target;
                const targetPreview = document.getElementById(targetPreviewId);
                targetPreview.style.backgroundImage = '';

                uploadedImages = uploadedImages.filter(image => image.preview !== targetPreviewId);

                updateCompareButtonState();
            });
        });

        const cameraBtn = document.getElementById('cameraBtn');
        const video = document.getElementById('video');
        let stream = null;

        cameraBtn.addEventListener('click', async () => {
            if (stream) {
                // Arrêter la caméra
                stream.getTracks().forEach(track => track.stop());
                video.classList.add('hidden');
                cameraBtn.innerHTML = '<i class="fas fa-video mr-2"></i>Caméra';
                stream = null;
            } else {
                // Démarrer la caméra
                try {
                    stream = await navigator.mediaDevices.getUserMedia({ video: { facingMode: 'user' } });
                    video.srcObject = stream;
                    video.classList.remove('hidden');
                    cameraBtn.innerHTML = '<i class="fas fa-times mr-2"></i>Arrêter';
                } catch (err) {
                    console.error('Erreur lors de l\'accès à la caméra:', err);
                }
            }
        });

        video.addEventListener('click', () => {
            if (stream && uploadedImages.length < 2) {
                const canvas = document.createElement('canvas');
                canvas.width = video.videoWidth;
                canvas.height = video.videoHeight;
                const ctx = canvas.getContext('2d');
                ctx.drawImage(video, 0, 0, canvas.width, canvas.height);
                canvas.toBlob(blob => {
                    const file = new File([blob], `capture-${Date.now()}.jpg`, { type: 'image/jpeg' });
                    const previewId = uploadedImages.length === 0 ? 'preview1' : 'preview2';
                    const previewImg = document.getElementById(previewId);
                    previewImg.style.backgroundImage = `url(${URL.createObjectURL(file)})`;
                    uploadedImages.push({ file: file, preview: previewId });
                    updateCompareButtonState();
                }, 'image/jpeg');
            }
        });

        const compareBtn = document.getElementById('compareBtn');
        compareBtn.addEventListener('click', () => {
            if (uploadedImages.length === 2) {
                showLoading();
                const formData = new FormData();
                formData.append('file1', uploadedImages[0].file);
                formData.append('file2', uploadedImages[1].file);

                fetch('/compare', {
                    method: 'POST',
                    body: formData
                })
                .then(response => response.json())
                .then(data => {
                    showResults(data);
                })
                .catch(error => {
                    console.error('Erreur lors de la comparaison:', error);
                    showError(error);
                })
                .finally(() => {
                    hideLoading();
                });
            }
        });

        function updateCompareButtonState() {
            compareBtn.classList.toggle('hidden', uploadedImages.length < 2);
        }

        function showResults(data) {
            const resultsDiv = document.getElementById('results');
            resultsDiv.classList.remove('show');
            
            setTimeout(() => {
                resultsDiv.innerHTML = `
                    <div class="text-center">
                        <div class="text-4xl mb-4 ${data.verified ? 'text-green-500' : 'text-red-500'}">
                            <i class="fas ${data.verified ? 'fa-check-circle' : 'fa-times-circle'}"></i>
                        </div>
                        <h3 class="text-xl font-bold mb-2">
                            ${data.verified ? 'Visages identiques' : 'Visages différents'}
                        </h3>
                        <div class="space-y-2">
                            <p class="comparison-result ${data.verified ? 'positive' : 'negative'}">
                                Similarité: <span class="font-semibold">${data.similarity}%</span>
                            </p>
                            <div class="progress-bar">
                                <div class="progress-bar-fill" style="width: ${data.similarity}%; --progress-value: ${data.similarity};" data-progress="${data.similarity}"></div>
                            </div>
                        </div>
                    </div>
                `;
                resultsDiv.classList.add('show');
                setTimeout(() => {
                    const progressBarFill = resultsDiv.querySelector('.progress-bar-fill');
                    progressBarFill.style.width = `${data.similarity}%`;
                }, 50);
            }, 300);
        }

        function showError(error) {
            const resultsDiv = document.getElementById('results');
            resultsDiv.classList.remove('show');
            setTimeout(() => {
                resultsDiv.innerHTML = `
                    <div class="text-center text-red-500">
                        <i class="fas fa-exclamation-triangle text-4xl mb-3"></i>
                        <p>Erreur : ${error.message || 'Une erreur est survenue.'}</p>
                    </div>
                `;
                resultsDiv.classList.add('show');
            }, 300);
        }

        function showLoading() {
            document.querySelector('.loading-overlay').style.display = 'flex';
        }

        function hideLoading() {
            document.querySelector('.loading-overlay').style.display = 'none';
        }
    </script>
</body>
</html>