import { pipeline } from '@huggingface/transformers'; import http from 'http'; // Configuration const PORT = 7860; const MODEL_NAME = 'Xenova/codegen-350M-mono'; // Lightweight, powerful coding model let generator; // Initialize the model on startup async function loadModel() { console.log("Loading coding model..."); generator = await pipeline('text-generation', MODEL_NAME); console.log("Model loaded successfully!"); } const server = http.createServer(async (req, res) => { // Set headers for JSON response res.setHeader('Content-Type', 'application/json'); // 1. Your requested Status Check if (req.url === '/' && req.method === 'GET') { res.writeHead(200); res.end(JSON.stringify({ "status": " Backend is running" })); return; } // 2. Code Generation Endpoint if (req.url === '/generate' && req.method === 'POST') { let body = ''; req.on('data', chunk => { body += chunk.toString(); }); req.on('end', async () => { try { const { prompt } = JSON.parse(body); if (!generator) { res.writeHead(503); return res.end(JSON.stringify({ error: "Model is still loading..." })); } // Generate code based on the prompt const output = await generator(prompt, { max_new_tokens: 100, temperature: 0.7 }); res.writeHead(200); res.end(JSON.stringify({ result: output[0].generated_text })); } catch (err) { res.writeHead(400); res.end(JSON.stringify({ error: "Invalid JSON or request" })); } }); return; } // Default 404 res.writeHead(404); res.end(JSON.stringify({ error: "Not Found" })); }); // Start everything loadModel().then(() => { server.listen(PORT, '0.0.0.0', () => { console.log(`Server running at http://0.0.0.0:${PORT}`); }); });