File size: 7,554 Bytes
112c759 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 |
<!DOCTYPE html>
<html lang="fr">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Mariam Anglais</title>
<script src="https://cdn.tailwindcss.com"></script>
<script>
tailwind.config = {
theme: {
extend: {
colors: {
primary: '#4CAF50',
'primary-dark': '#3e8e41',
}
}
}
}
</script>
</head>
<body class="bg-gray-50 min-h-screen">
<div class="container mx-auto px-4 py-8 max-w-6xl">
<!-- Header -->
<header class="text-center mb-12">
<h1 class="text-5xl font-bold text-primary mb-4 animate-fade-in">
✨ Mariam Anglais ✨
</h1>
<p class="text-gray-600 text-lg">
Bienvenue ! Téléchargez vos images, choisissez votre type d'analyse, et laissez la magie opérer.
</p>
</header>
<!-- Main Content -->
<div class="grid md:grid-cols-2 gap-12">
<!-- Upload Section -->
<div class="bg-white rounded-lg shadow-lg p-6">
<h2 class="text-2xl font-semibold text-primary mb-4">📷 Téléchargement d'images</h2>
<div class="upload-zone border-2 border-dashed border-primary rounded-lg p-8 text-center cursor-pointer hover:bg-gray-50 transition-colors">
<input type="file" id="image-upload" multiple accept="image/*" class="hidden">
<label for="image-upload" class="cursor-pointer">
<svg class="mx-auto h-12 w-12 text-primary mb-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M12 4v16m8-8H4"></path>
</svg>
<span class="text-gray-600">Cliquez ou glissez vos images ici</span>
</label>
</div>
<div id="preview-container" class="mt-4 grid grid-cols-2 gap-4"></div>
</div>
<!-- Analysis Type Section -->
<div class="bg-white rounded-lg shadow-lg p-6">
<h2 class="text-2xl font-semibold text-primary mb-4">🎛️ Choix du type d'analyse</h2>
<div class="space-y-4">
<label class="flex items-center p-4 rounded-lg border border-gray-200 cursor-pointer hover:bg-gray-50 transition-colors">
<input type="radio" name="analysis_type" value="text" class="h-4 w-4 text-primary">
<span class="ml-3">🔍 Type 1: Analyse de Texte</span>
</label>
<label class="flex items-center p-4 rounded-lg border border-gray-200 cursor-pointer hover:bg-gray-50 transition-colors">
<input type="radio" name="analysis_type" value="icon" class="h-4 w-4 text-primary">
<span class="ml-3">🧠 Type 2: Document iconographique</span>
</label>
</div>
<button id="submit-btn" class="w-full mt-6 bg-primary hover:bg-primary-dark text-white font-bold py-3 px-6 rounded-lg transition-all transform hover:-translate-y-1 hover:shadow-lg disabled:opacity-50 disabled:cursor-not-allowed">
🚀 Soumettre
</button>
</div>
</div>
<!-- Results Section -->
<div id="results" class="mt-12 bg-white rounded-lg shadow-lg p-6 hidden">
<h2 class="text-2xl font-semibold text-primary mb-4">📝 Résultat de l'analyse</h2>
<div id="analysis-result" class="prose max-w-none"></div>
</div>
<!-- Footer -->
<footer class="mt-12 text-center text-gray-600">
<hr class="mb-4">
<p>© 2025 Mariam AI - Tous droits réservés.</p>
</footer>
</div>
<script>
document.addEventListener('DOMContentLoaded', () => {
const imageUpload = document.getElementById('image-upload');
const previewContainer = document.getElementById('preview-container');
const submitBtn = document.getElementById('submit-btn');
const resultsSection = document.getElementById('results');
const analysisResult = document.getElementById('analysis-result');
let uploadedFiles = [];
imageUpload.addEventListener('change', handleFileSelect);
submitBtn.addEventListener('click', handleSubmit);
function handleFileSelect(event) {
uploadedFiles = Array.from(event.target.files);
updatePreview();
}
function updatePreview() {
previewContainer.innerHTML = '';
uploadedFiles.forEach((file, index) => {
const preview = document.createElement('div');
preview.className = 'relative';
preview.innerHTML = `
<img src="${URL.createObjectURL(file)}" alt="Preview" class="w-full h-32 object-cover rounded-lg">
<button onclick="removeImage(${index})" class="absolute top-2 right-2 bg-red-500 text-white rounded-full p-1 hover:bg-red-600">
<svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M6 18L18 6M6 6l12 12"></path>
</svg>
</button>
`;
previewContainer.appendChild(preview);
});
submitBtn.disabled = uploadedFiles.length === 0;
}
function removeImage(index) {
uploadedFiles.splice(index, 1);
updatePreview();
}
async function handleSubmit() {
const formData = new FormData();
const analysisType = document.querySelector('input[name="analysis_type"]:checked')?.value;
if (!analysisType || uploadedFiles.length === 0) {
alert('Veuillez sélectionner un type d\'analyse et au moins une image.');
return;
}
formData.append('analysis_type', analysisType);
uploadedFiles.forEach(file => formData.append('images', file));
submitBtn.disabled = true;
submitBtn.innerHTML = 'Analyse en cours...';
try {
const response = await fetch('/analyze', {
method: 'POST',
body: formData
});
const data = await response.json();
if (data.error) {
throw new Error(data.error);
}
resultsSection.classList.remove('hidden');
analysisResult.innerHTML = data.result;
} catch (error) {
alert('Erreur lors de l\'analyse: ' + error.message);
} finally {
submitBtn.disabled = false;
submitBtn.innerHTML = '🚀 Soumettre';
}
}
// Make removeImage function global
window.removeImage = removeImage;
});
</script>
</body>
</html> |