Spaces:
Configuration error
Architecture “Rosalinda” (100% propriétaire)
Browse filesFront (web)
Chat (texte + micro dictée)
Upload fichiers (drag&drop)
Projets (dossiers, tâches, historique)
“Ordinateur”/console live (logs)
Back (ton serveur)
rosalinda-core : orchestrateur (chat + outils + mémoire)
plugins : système de plugins (tools) exécutés en sandbox
files : stockage local (uploads)
jobs : file d’attente (images/vidéos) + logs + statut
models : connecteurs IA locaux
LLM local (Ollama ou llama.cpp ou vLLM)
Images (Stable Diffusion local)
Vidéo (FFmpeg + option modèles vidéo locaux si tu veux)
Option “sans API” la plus simple (recommandée)
✅ LLM local avec Ollama
Pas d’API payante, pas de clé, tout tourne chez toi.
Ton serveur parle à Ollama en local (HTTP local).
✅ Images en local
Stable Diffusion (AUTOMATIC1111 ou ComfyUI) sur ta machine/serveur.
Rosalinda appelle ton endpoint local.
✅ Vidéos
FFmpeg pour assembler (images + texte + audio).
Plus tard, tu peux brancher un modèle vidéo local si tu as un gros GPU.
Codes : Base “Rosalinda” (fonctionnelle) – sans clé API
Je te mets un socle Node.js (Nest/Express style simple) + plugin system + upload + jobs.
Tu peux le donner à ton développeur tel quel.
1) Structure projet
rosalinda/
server/
package.json
src/
index.ts
core/
agent.ts
memory.ts
tools.ts
plugins/
index.ts
project.create.ts
file.summarize.ts
routes/
chat.ts
files.ts
projects.ts
jobs.ts
services/
ollama.ts
ffmpeg.ts
storage/
uploads/.gitkeep
projects.json
jobs.json
web/
(ton front Next/React — tu as déjà la base)
2) Serveur : server/package.json
{
"name": "rosalinda-server",
"private": true,
"type": "module",
"scripts": {
"dev": "node --watch --loader ts-node/esm src/index.ts"
},
"dependencies": {
"express": "^4.19.2",
"multer": "^1.4.5-lts.1",
"zod": "^3.24.1"
},
"devDependencies": {
"ts-node": "^10.9.2",
"typescript": "^5.6.3"
}
}
3) Serveur principal : server/src/index.ts
import express from "express";
import { chatRouter } from "./routes/chat.js";
import { filesRouter } from "./routes/files.js";
import { projectsRouter } from "./routes/projects.js";
import { jobsRouter } from "./routes/jobs.js";
const app = express();
app.use(express.json({ limit: "20mb" }));
app.get("/health", (_req, res) => res.json({ ok: true, name: "Rosalinda" }));
app.use("/api/chat", chatRouter);
app.use("/api/files", filesRouter);
app.use("/api/projects", projectsRouter);
app.use("/api/jobs", jobsRouter);
const port = process.env.PORT ? Number(process.env.PORT) : 3333;
app.listen(port, () => console.log(`Rosalinda server running on http://localhost:${port}`));
4) Orchestrateur IA (sans API) : server/src/core/agent.ts
Rosalinda = un agent qui :
lit le message
choisit des tools (plugins) si nécessaire
répond
import { runTools } from "./tools.js";
import { memoryAppend, memoryGet } from "./memory.js";
import { llmChat } from "../services/ollama.js";
export async function rosalindaRespond(input: {
projectId: string;
userText: string;
}) {
const { projectId, userText } = input;
const history = memoryGet(projectId);
memoryAppend(projectId, { role: "user", content: userText });
// 1) tenter outils (plugins)
const toolResult = await runTools({ projectId, userText });
// 2) prompt Rosalinda (identité + contexte)
const system = `
Tu es Rosalinda, l'IA privée du propriétaire.
Règles:
- Tu proposes des actions concrètes.
- Tu peux créer des projets, lancer des jobs, manipuler des fichiers via les tools.
- Tu réponds en français, clair, professionnel.
`;
const messages = [
{ role: "system", content: system },
...history.slice(-12),
...(toolResult ? [{ role: "assistant", content: `Résultat outil: ${toolResult}` }] : [])
];
// 3) réponse LLM local
const reply = await llmChat(messages);
memoryAppend(projectId, { role: "assistant", content: reply });
return { reply, toolResult };
}
5) Mémoire simple : server/src/core/memory.ts
type Msg = { role: "user" | "assistant" | "system"; content: string };
const mem = new Map<string, Msg[]>();
export function memoryGet(projectId: string): Msg[] {
return mem.get(projectId) ?? [];
}
export function memoryAppend(projectId: string, msg: Msg) {
const arr = mem.get(projectId) ?? [];
arr.push(msg);
mem.set(projectId, arr);
}
6) Tools + Plugins : server/src/core/tools.ts
import { plugins } from "../plugins/index.js";
export async function runTools(input: { projectId: string; userText: string }) {
// Routage simple: si le texte contient certains mots, déclenche plugin
const t = input.userText.toLowerCase();
if (t.includes("crée un projet") || t.includes("creer un projet")) {
return plugins.projectCreate.run({ projectId: input.projectId, text: input.userText });
}
if (t.includes("résume le fichier") || t.includes("resume le fichier")) {
return plugins.fileSummarize.run({ projectId: input.projectId, text: input.userText });
}
return null;
}
Plugins : server/src/plugins/index.ts
import { projectCreate } from "./project.create.js";
import { fileSummarize } from "./file.summarize.js";
export const plugins = {
projectCreate,
fileSummarize
};
Plugin “Créer projet” : server/src/plugins/project.create.ts
import { readProjects, writeProjects } from "../routes/projects.store.js";
export const projectCreate = {
name: "project.create",
async run(input: { projectId: string; text: string }) {
const name = input.text.split(":")[1]?.trim() || `Projet ${new Date().toISOString()}`;
const db = readProjects();
const id = "p_" + Math.random().toString(16).slice(2);
db.projects.push({ id, name, createdAt: Date.now() });
writeProjects(db);
return `Projet créé ✅ id=${id} name="${name}"`;
}
};
Plugin “Résumer fichier” : server/src/plugins/file.summarize.ts
import { llmChat } from "../services/ollama.js";
export const fileSummarize = {
name: "file.summarize",
async run(_input: { projectId: string; text: string }) {
// Ici tu peux aller lire un fichier uploadé et l’injecter au LLM local.
// Pour l’instant: exemple.
const reply = await llmChat([
{ role: "system", content: "Tu résumes un document de manière structurée." },
{ role: "user", content: "Résumé: ceci est un test de résumé." }
]);
return `Résumé (exemple) ✅\n${reply}`;
}
};
7) Route Chat : server/src/routes/chat.ts
import { Router } from "express";
import { z } from "zod";
import { rosalindaRespond } from "../core/agent.js";
export const chatRouter = Router();
chatRouter.post("/", async (req, res) => {
const body = z.object({
projectId: z.string().min(1),
text: z.string().min(1)
}).safeParse(req.body);
if (!body.success) return res.status(400).json({ ok: false, error: body.error.message });
const out = await rosalindaRespond({ projectId: body.data.projectId, userText: body.data.text });
res.json({ ok: true, reply: out.reply, toolResult: out.toolResult });
});
8) Upload fichiers : server/src/routes/files.ts
import { Router } from "express";
import multer from "multer";
import path from "path";
import fs from "fs";
export const filesRouter = Router();
const uploadDir = path.resolve("src/storage/uploads");
fs.mkdirSync(uploadDir, { recursive: true });
const storage = multer.diskStorage({
destination: (_req, _file, cb) => cb(null, uploadDir),
filename: (_req, file, cb) => cb(null, Date.now() + "_" + file.originalname)
});
const upload = multer({ storage });
filesRouter.post("/upload", upload.array("files", 10), (req, res) => {
const files = (req.files as Express.Multer.File[]) ?? [];
res.json({
ok: true,
files: files.map(f => ({ name: f.originalname, path: f.filename, size: f.size }))
});
});
9) Projets (stockage json simple) : server/src/routes/projects.store.ts
import fs from "fs";
import path from "path";
const dbPath = path.resolve("src/storage/projects.json");
export type ProjectDB = { projects: { id: string; name: string; createdAt: number }[] };
export function readProjects(): ProjectDB {
if (!fs.existsSync(dbPath)) return { projects: [] };
return JSON.parse(fs.readFileSync(dbPath, "utf-8"));
}
export function writeProjects(db: ProjectDB) {
fs.writeFileSync(dbPath, JSON.stringify(db, null, 2), "utf-8");
}
server/src/routes/projects.ts
import { Router } from "express";
import { readProjects } from "./projects.store.js";
export const projectsRouter = Router();
projectsRouter.get("/", (_req, res) => {
res.json({ ok: true, ...readProjects() });
});
10) LLM local (sans clé) : server/src/services/ollama.ts
Rosalinda utilise Ollama local : http://localhost:11434
type Msg = { role: "system" | "user" | "assistant"; content: string };
export async function llmChat(messages: Msg[]) {
const res = await fetch("http://localhost:11434/api/chat", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
model: "llama3.1", // tu peux changer selon ton modèle local
messages,
stream: false
})
});
if (!res.ok) {
const txt = await res.text().catch(() => "");
return `Rosalinda: erreur LLM local (${res.status}). ${txt}`;
}
const data: any = await res.json();
return data?.message?.content ?? "Rosalinda: (réponse vide)";
}
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| 1 |
+
class CustomFileUpload extends HTMLElement {
|
| 2 |
+
connectedCallback() {
|
| 3 |
+
this.attachShadow({ mode: 'open' });
|
| 4 |
+
this.shadowRoot.innerHTML = `
|
| 5 |
+
<style>
|
| 6 |
+
:host {
|
| 7 |
+
display: block;
|
| 8 |
+
position: fixed;
|
| 9 |
+
bottom: 80px;
|
| 10 |
+
left: 280px;
|
| 11 |
+
right: 40%;
|
| 12 |
+
background: white;
|
| 13 |
+
padding: 1rem;
|
| 14 |
+
border: 1px solid #e2e8f0;
|
| 15 |
+
border-radius: 0.5rem;
|
| 16 |
+
box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1);
|
| 17 |
+
z-index: 10;
|
| 18 |
+
}
|
| 19 |
+
.drop-area {
|
| 20 |
+
border: 2px dashed #cbd5e1;
|
| 21 |
+
border-radius: 0.5rem;
|
| 22 |
+
padding: 2rem;
|
| 23 |
+
text-align: center;
|
| 24 |
+
cursor: pointer;
|
| 25 |
+
}
|
| 26 |
+
.drop-area.highlight {
|
| 27 |
+
border-color: #3b82f6;
|
| 28 |
+
background-color: #f0f9ff;
|
| 29 |
+
}
|
| 30 |
+
.file-list {
|
| 31 |
+
margin-top: 1rem;
|
| 32 |
+
max-height: 200px;
|
| 33 |
+
overflow-y: auto;
|
| 34 |
+
}
|
| 35 |
+
.file-item {
|
| 36 |
+
display: flex;
|
| 37 |
+
align-items: center;
|
| 38 |
+
padding: 0.5rem;
|
| 39 |
+
border-bottom: 1px solid #e2e8f0;
|
| 40 |
+
}
|
| 41 |
+
.file-icon {
|
| 42 |
+
margin-right: 0.5rem;
|
| 43 |
+
}
|
| 44 |
+
.upload-button {
|
| 45 |
+
margin-top: 1rem;
|
| 46 |
+
background: #3b82f6;
|
| 47 |
+
color: white;
|
| 48 |
+
border: none;
|
| 49 |
+
border-radius: 0.5rem;
|
| 50 |
+
padding: 0.5rem 1rem;
|
| 51 |
+
cursor: pointer;
|
| 52 |
+
}
|
| 53 |
+
.upload-button:hover {
|
| 54 |
+
background: #2563eb;
|
| 55 |
+
}
|
| 56 |
+
</style>
|
| 57 |
+
<div class="drop-area" id="dropArea">
|
| 58 |
+
<i data-feather="upload-cloud"></i>
|
| 59 |
+
<p>Glissez-déposez vos fichiers ici ou cliquez pour sélectionner</p>
|
| 60 |
+
<input type="file" id="fileInput" multiple style="display: none;">
|
| 61 |
+
<div class="file-list" id="fileList"></div>
|
| 62 |
+
<button class="upload-button" id="uploadButton">Envoyer vers Rosalinda</button>
|
| 63 |
+
</div>
|
| 64 |
+
`;
|
| 65 |
+
|
| 66 |
+
const dropArea = this.shadowRoot.getElementById('dropArea');
|
| 67 |
+
const fileInput = this.shadowRoot.getElementById('fileInput');
|
| 68 |
+
const fileList = this.shadowRoot.getElementById('fileList');
|
| 69 |
+
const uploadButton = this.shadowRoot.getElementById('uploadButton');
|
| 70 |
+
|
| 71 |
+
let files = [];
|
| 72 |
+
|
| 73 |
+
dropArea.addEventListener('click', () => fileInput.click());
|
| 74 |
+
|
| 75 |
+
fileInput.addEventListener('change', (e) => {
|
| 76 |
+
files = Array.from(e.target.files);
|
| 77 |
+
updateFileList();
|
| 78 |
+
});
|
| 79 |
+
|
| 80 |
+
['dragenter', 'dragover', 'dragleave', 'drop'].forEach(eventName => {
|
| 81 |
+
dropArea.addEventListener(eventName, preventDefaults, false);
|
| 82 |
+
});
|
| 83 |
+
|
| 84 |
+
['dragenter', 'dragover'].forEach(eventName => {
|
| 85 |
+
dropArea.addEventListener(eventName, highlight, false);
|
| 86 |
+
});
|
| 87 |
+
|
| 88 |
+
['dragleave', 'drop'].forEach(eventName => {
|
| 89 |
+
dropArea.addEventListener(eventName, unhighlight, false);
|
| 90 |
+
});
|
| 91 |
+
|
| 92 |
+
dropArea.addEventListener('drop', handleDrop, false);
|
| 93 |
+
|
| 94 |
+
uploadButton.addEventListener('click', uploadFiles);
|
| 95 |
+
|
| 96 |
+
function preventDefaults(e) {
|
| 97 |
+
e.preventDefault();
|
| 98 |
+
e.stopPropagation();
|
| 99 |
+
}
|
| 100 |
+
|
| 101 |
+
function highlight() {
|
| 102 |
+
dropArea.classList.add('highlight');
|
| 103 |
+
}
|
| 104 |
+
|
| 105 |
+
function unhighlight() {
|
| 106 |
+
dropArea.classList.remove('highlight');
|
| 107 |
+
}
|
| 108 |
+
|
| 109 |
+
function handleDrop(e) {
|
| 110 |
+
const dt = e.dataTransfer;
|
| 111 |
+
files = Array.from(dt.files);
|
| 112 |
+
updateFileList();
|
| 113 |
+
}
|
| 114 |
+
|
| 115 |
+
function updateFileList() {
|
| 116 |
+
fileList.innerHTML = '';
|
| 117 |
+
files.forEach(file => {
|
| 118 |
+
const fileItem = document.createElement('div');
|
| 119 |
+
fileItem.className = 'file-item';
|
| 120 |
+
fileItem.innerHTML = `
|
| 121 |
+
<i data-feather="file" class="file-icon"></i>
|
| 122 |
+
<span>${file.name} (${formatFileSize(file.size)})</span>
|
| 123 |
+
`;
|
| 124 |
+
fileList.appendChild(fileItem);
|
| 125 |
+
});
|
| 126 |
+
feather.replace();
|
| 127 |
+
}
|
| 128 |
+
|
| 129 |
+
async function uploadFiles() {
|
| 130 |
+
if (files.length === 0) return;
|
| 131 |
+
|
| 132 |
+
const formData = new FormData();
|
| 133 |
+
files.forEach(file => formData.append('files', file));
|
| 134 |
+
|
| 135 |
+
try {
|
| 136 |
+
const response = await fetch('http://localhost:3333/api/files/upload', {
|
| 137 |
+
method: 'POST',
|
| 138 |
+
body: formData
|
| 139 |
+
});
|
| 140 |
+
|
| 141 |
+
const data = await response.json();
|
| 142 |
+
if (data.ok) {
|
| 143 |
+
alert(`${data.files.length} fichiers envoyés avec succès à Rosalinda`);
|
| 144 |
+
files = [];
|
| 145 |
+
updateFileList();
|
| 146 |
+
}
|
| 147 |
+
} catch (error) {
|
| 148 |
+
console.error('Error uploading files:', error);
|
| 149 |
+
alert('Erreur lors de l\'envoi des fichiers');
|
| 150 |
+
}
|
| 151 |
+
}
|
| 152 |
+
|
| 153 |
+
function formatFileSize(bytes) {
|
| 154 |
+
if (bytes === 0) return '0 Bytes';
|
| 155 |
+
const k = 1024;
|
| 156 |
+
const sizes = ['Bytes', 'KB', 'MB', 'GB'];
|
| 157 |
+
const i = Math.floor(Math.log(bytes) / Math.log(k));
|
| 158 |
+
return parseFloat((bytes / Math.pow(k, i)).toFixed(2)) + ' ' + sizes[i];
|
| 159 |
+
}
|
| 160 |
+
}
|
| 161 |
+
}
|
| 162 |
+
|
| 163 |
+
customElements.define('custom-file-upload', CustomFileUpload);
|
|
@@ -23,6 +23,7 @@
|
|
| 23 |
<script src="components/sidebar.js"></script>
|
| 24 |
<script src="components/chat.js"></script>
|
| 25 |
<script src="components/code-preview.js"></script>
|
| 26 |
-
<script src="
|
|
|
|
| 27 |
</body>
|
| 28 |
</html>
|
|
|
|
| 23 |
<script src="components/sidebar.js"></script>
|
| 24 |
<script src="components/chat.js"></script>
|
| 25 |
<script src="components/code-preview.js"></script>
|
| 26 |
+
<script src="components/file-upload.js"></script>
|
| 27 |
+
<script src="https://huggingface.co/deepsite/deepsite-badge.js"></script>
|
| 28 |
</body>
|
| 29 |
</html>
|
|
@@ -13,19 +13,24 @@ document.addEventListener('DOMContentLoaded', function() {
|
|
| 13 |
const chat = document.querySelector('custom-chat');
|
| 14 |
if (chat) {
|
| 15 |
const shadowRoot = chat.shadowRoot;
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
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|
| 22 |
const connectButton = shadowRoot.getElementById('connectButton');
|
| 23 |
connectButton.addEventListener('click', () => {
|
| 24 |
-
|
| 25 |
-
const message = document.createElement('div');
|
| 26 |
-
message.className = 'message';
|
| 27 |
-
message.textContent = 'Ouverture: connecter des applications...';
|
| 28 |
-
conversation.appendChild(message);
|
| 29 |
});
|
| 30 |
|
| 31 |
// Microphone
|
|
@@ -39,14 +44,11 @@ document.addEventListener('DOMContentLoaded', function() {
|
|
| 39 |
stopSpeechRecognition();
|
| 40 |
}
|
| 41 |
} else {
|
| 42 |
-
|
| 43 |
-
const message = document.createElement('div');
|
| 44 |
-
message.className = 'message';
|
| 45 |
-
message.textContent = 'La reconnaissance vocale n\'est pas supportée par votre navigateur';
|
| 46 |
-
conversation.appendChild(message);
|
| 47 |
}
|
| 48 |
});
|
| 49 |
-
|
|
|
|
| 50 |
const sendButton = shadowRoot.getElementById('sendButton');
|
| 51 |
const messageInput = shadowRoot.getElementById('messageInput');
|
| 52 |
sendButton.addEventListener('click', sendMessage);
|
|
@@ -95,12 +97,46 @@ document.addEventListener('DOMContentLoaded', function() {
|
|
| 95 |
recognition.stop();
|
| 96 |
}
|
| 97 |
}
|
| 98 |
-
|
| 99 |
-
function sendMessage() {
|
| 100 |
const message = messageInput.value.trim();
|
| 101 |
if (message) {
|
| 102 |
-
|
| 103 |
-
|
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|
|
|
|
|
|
|
|
|
|
|
| 104 |
messageInput.value = '';
|
| 105 |
}
|
| 106 |
}
|
|
|
|
| 13 |
const chat = document.querySelector('custom-chat');
|
| 14 |
if (chat) {
|
| 15 |
const shadowRoot = chat.shadowRoot;
|
| 16 |
+
// File upload modal
|
| 17 |
+
const fileButton = shadowRoot.getElementById('fileButton');
|
| 18 |
+
const fileUpload = document.createElement('custom-file-upload');
|
| 19 |
+
fileButton.addEventListener('click', () => {
|
| 20 |
+
document.body.appendChild(fileUpload);
|
| 21 |
+
setTimeout(() => {
|
| 22 |
+
document.addEventListener('click', (e) => {
|
| 23 |
+
if (!fileUpload.contains(e.target) && e.target !== fileButton) {
|
| 24 |
+
fileUpload.remove();
|
| 25 |
+
}
|
| 26 |
+
}, { once: true });
|
| 27 |
+
}, 0);
|
| 28 |
+
feather.replace();
|
| 29 |
+
});
|
| 30 |
+
// Connect apps
|
| 31 |
const connectButton = shadowRoot.getElementById('connectButton');
|
| 32 |
connectButton.addEventListener('click', () => {
|
| 33 |
+
alert('Connecter des applications - Cette fonctionnalité sera implémentée bientôt');
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
});
|
| 35 |
|
| 36 |
// Microphone
|
|
|
|
| 44 |
stopSpeechRecognition();
|
| 45 |
}
|
| 46 |
} else {
|
| 47 |
+
alert('La reconnaissance vocale n\'est pas supportée par votre navigateur');
|
|
|
|
|
|
|
|
|
|
|
|
|
| 48 |
}
|
| 49 |
});
|
| 50 |
+
|
| 51 |
+
// Send message
|
| 52 |
const sendButton = shadowRoot.getElementById('sendButton');
|
| 53 |
const messageInput = shadowRoot.getElementById('messageInput');
|
| 54 |
sendButton.addEventListener('click', sendMessage);
|
|
|
|
| 97 |
recognition.stop();
|
| 98 |
}
|
| 99 |
}
|
| 100 |
+
async function sendMessage() {
|
|
|
|
| 101 |
const message = messageInput.value.trim();
|
| 102 |
if (message) {
|
| 103 |
+
try {
|
| 104 |
+
const response = await fetch('http://localhost:3333/api/chat', {
|
| 105 |
+
method: 'POST',
|
| 106 |
+
headers: {
|
| 107 |
+
'Content-Type': 'application/json'
|
| 108 |
+
},
|
| 109 |
+
body: JSON.stringify({
|
| 110 |
+
projectId: 'default',
|
| 111 |
+
text: message
|
| 112 |
+
})
|
| 113 |
+
});
|
| 114 |
+
|
| 115 |
+
const data = await response.json();
|
| 116 |
+
if (data.ok) {
|
| 117 |
+
const conversation = shadowRoot.querySelector('.conversation');
|
| 118 |
+
const userMessage = document.createElement('div');
|
| 119 |
+
userMessage.className = 'message';
|
| 120 |
+
userMessage.textContent = message;
|
| 121 |
+
conversation.appendChild(userMessage);
|
| 122 |
+
|
| 123 |
+
const aiMessage = document.createElement('div');
|
| 124 |
+
aiMessage.className = 'message';
|
| 125 |
+
aiMessage.textContent = data.reply;
|
| 126 |
+
conversation.appendChild(aiMessage);
|
| 127 |
+
|
| 128 |
+
if (data.toolResult) {
|
| 129 |
+
const toolResult = document.createElement('div');
|
| 130 |
+
toolResult.className = 'message tool-result';
|
| 131 |
+
toolResult.textContent = data.toolResult;
|
| 132 |
+
conversation.appendChild(toolResult);
|
| 133 |
+
}
|
| 134 |
+
|
| 135 |
+
conversation.scrollTop = conversation.scrollHeight;
|
| 136 |
+
}
|
| 137 |
+
} catch (error) {
|
| 138 |
+
console.error('Error sending message:', error);
|
| 139 |
+
}
|
| 140 |
messageInput.value = '';
|
| 141 |
}
|
| 142 |
}
|