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.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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static/uploads/chapitre[[:space:]]2[[:space:]]RECONNAISSANCE[[:space:]]DE[[:space:]]FORMES[[:space:]]ET[[:space:]]CLASSIFICATION.pdf filter=lfs diff=lfs merge=lfs -text
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static/uploads/Untitled.pdf filter=lfs diff=lfs merge=lfs -text
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static/__pycache__/main.cpython-312.pyc
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Binary file (7.41 kB). View file
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static/__pycache__/main.cpython-39.pyc
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Binary file (318 Bytes). View file
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static/index.html
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<!DOCTYPE html>
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<html lang="fr">
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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>Document Translator - IA Edition</title>
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<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet">
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<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/sweetalert2@11"></script>
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<script src="https://cdnjs.cloudflare.com/ajax/libs/jspdf/2.5.1/jspdf.umd.min.js"></script>
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<style>
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body {
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background: linear-gradient(135deg, #1e3c72, #2a5298);
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color: white;
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text-align: center;
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padding: 40px;
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}
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.container {
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max-width: 600px;
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background: rgba(255, 255, 255, 0.1);
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padding: 20px;
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border-radius: 15px;
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backdrop-filter: blur(10px);
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box-shadow: 0px 0px 15px rgba(255, 255, 255, 0.2);
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}
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.result-box {
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background: white;
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color: black;
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padding: 15px;
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border-radius: 10px;
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text-align: left;
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max-height: 300px;
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overflow-y: auto;
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margin-top: 15px;
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font-size: 16px;
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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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<h1>📝 AI Document Translator</h1>
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<p class="file-info">Formats supportés : <b>TXT, PDF, DOCX, PPTX, XLSX</b></p>
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<form id="uploadForm">
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<input type="file" id="fileInput" name="file" class="form-control mt-3" required>
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<select id="src_lang" name="src_lang" class="form-control mt-3">
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<option >Francais</option>
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<option >Anglais</option>
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<option >Arabe</option>
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<option >Espagnol</option>
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</select>
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<select id="tgt_lang" name="tgt_lang" class="form-control mt-3">
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<option >Francais</option>
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<option >Anglais</option>
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<option >Arabe</option>
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<option >Espagnol</option>
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</select>
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<button type="submit" class="btn btn-success mt-3">Traduire</button>
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</form>
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<div class="menu mt-3">
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<button type="button" class="btn btn-info" id="openFile">📂 Ouvrir le fichier</button>
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<button id="copyText" class="btn btn-secondary" disabled>📋 Copier</button>
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<button id="speakText" class="btn btn-dark" disabled>🔊 Écouter</button>
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<button id="downloadTxt" class="btn btn-warning" disabled>⬇️ Télécharger en TXT</button>
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<button id="downloadPdf" class="btn btn-danger" disabled>📄 Télécharger en PDF</button>
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<button id="summarizeText" class="btn btn-primary" disabled>✂️ Résumer</button>
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</div>
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<h2 class="mt-4">Résultat :</h2>
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<div id="result" class="result-box">Aucun texte traduit pour l’instant...</div>
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</div>
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<script>
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$(document).ready(function() {
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$('#uploadForm').submit(async function(event) {
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event.preventDefault();
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let formData = new FormData(this);
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Swal.fire({ title: 'Traduction en cours...', didOpen: () => { Swal.showLoading(); }});
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let response = await fetch('/upload/', { method: 'POST', body: formData });
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let result = await response.json();
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Swal.close();
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if (result.translated_text) {
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$('#result').html(`<b>✨ Traduction :</b><br>${result.translated_text}`);
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$('#copyText, #speakText, #downloadTxt, #downloadPdf, #summarizeText').prop("disabled", false);
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} else {
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$('#result').html(`❌ Erreur: ${result.detail}`);
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}
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});
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$('#speakText').click(function() {
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let text = $('#result').text().trim();
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if (!text) return;
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let langMap = { "Francais": "fr-FR", "Anglais": "en-US", "Arabe": "ar-SA", "Espagnol": "es-ES" };
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let lang = $('#tgt_lang').val();
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let utterance = new SpeechSynthesisUtterance(text);
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utterance.lang = langMap[lang] || "fr-FR";
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utterance.rate = 1;
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utterance.pitch = 1;
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utterance.volume = 1;
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speechSynthesis.speak(utterance);
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});
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$('#summarizeText').click(async function() {
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let text = $('#result').text().trim();
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if (!text) return;
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Swal.fire({ title: 'Résumé en cours...', didOpen: () => { Swal.showLoading(); }});
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let response = await fetch('/summarize/', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ text: text })
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});
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let result = await response.json();
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Swal.close();
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if (result.summary) {
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Swal.fire("Résumé", result.summary, "info");
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} else {
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Swal.fire("Erreur", "Impossible de résumer le texte.", "error");
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}
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});
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});
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</script>
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</body>
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</html>
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static/uploads/TD1 (1).docx
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Binary file (53.4 kB). View file
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static/uploads/Untitled.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb03deee8b41e265cde7eb86f14deae4cc505d9fef18a3cdaccde123f7ca6ae8
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size 349803
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static/uploads/chapitre 2 RECONNAISSANCE DE FORMES ET CLASSIFICATION.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:cad0c7e09e566f603390d90611e4fd0c969d6920a064b4cf74fdbcde58fc8c7e
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size 1665388
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