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Update server.js
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server.js
CHANGED
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@@ -1,291 +1,150 @@
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import { pipeline } from '@huggingface/transformers';
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import http from 'http';
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const PORT
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const MODEL_NAME = 'onnx-community/Qwen2.5-0.5B-Instruct';
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let generator;
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const res = await fetch(url);
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const data = await res.json();
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const results = data?.query?.search;
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if (!results || results.length === 0) return null;
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return results[0].title;
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} catch (e) {
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console.error("Wikipedia search error:", e.message);
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return null;
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}
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}
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async function fetchWikipediaSummary(title) {
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try {
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const url = `https://en.wikipedia.org/api/rest_v1/page/summary/${encodeURIComponent(title)}`;
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const res = await fetch(url);
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const data = await res.json();
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if (data.extract) return data.extract.slice(0, 800);
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return null;
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} catch (e) {
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console.error("Wikipedia fetch error:", e.message);
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return null;
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}
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}
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console.log(`Wikipedia context fetched: "${title}"`);
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return { title, summary };
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} catch (e) {
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console.error("Wikipedia context error:", e.message);
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return null;
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}
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}
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'show me the code', 'give me the code', 'write html',
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'write css', 'write javascript', 'write js',
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'create a backend', 'build a backend',
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'create a frontend', 'build a frontend',
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'create a server', 'build a server',
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'how do i code', 'how to code', 'code for',
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'sample code', 'example code', '```'
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];
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const NON_CODING_CONTEXTS = [
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'function of', 'functions of', 'what is the function',
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'what are the functions', 'purpose of', 'role of',
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'explain', 'what is', 'what are', 'tell me about',
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'history of', 'meaning of', 'definition of',
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'describe', 'how does', 'why is', 'benefits of',
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'importance of', 'effects of', 'causes of',
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'who is', 'who was', 'when did', 'when was',
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'where is', 'where was', 'which is', 'which was'
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];
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function isCodingRequest(prompt) {
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const lower = prompt.toLowerCase().trim();
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if (NON_CODING_CONTEXTS.some(ctx => lower.includes(ctx))) return false;
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return CODING_PHRASES.some(phrase => lower.includes(phrase));
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}
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function isWebsiteRequest(prompt) {
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const lower = prompt.toLowerCase();
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return ['website', 'webpage', 'web page', 'html page', 'login page',
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'register page', 'landing page', 'form page', 'signup page',
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'homepage', 'home page', 'portfolio', 'dashboard'].some(w => lower.includes(w));
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}
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html = '<!DOCTYPE html>\n<html lang="en">\n' + html.trimStart();
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}
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}
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if (!html.trimEnd().toLowerCase().endsWith('</html>')) {
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if (html.toLowerCase().includes('</body>')) {
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html = html.replace(/<\/body>\s*$/i, '</body>\n</html>');
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} else {
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html = html.trimEnd() + '\n</body>\n</html>';
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}
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}
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return html.trim();
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}
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function enforceHTMLStructure(text) {
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const codeBlockMatch = text.match(/```html\s*([\s\S]*?)```/i);
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if (codeBlockMatch) {
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return '```html\n' + cleanHTML(codeBlockMatch[1].trim()) + '\n```';
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}
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const htmlStart = text.search(/<(!DOCTYPE|html)/i);
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if (htmlStart !== -1) {
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let html = text.slice(htmlStart);
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const htmlEnd = html.search(/<\/html>/i);
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if (htmlEnd !== -1) html = html.slice(0, htmlEnd + 7);
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return '```html\n' + cleanHTML(html) + '\n```';
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}
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return text;
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}
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async function generateResponse(messages, coding) {
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const output = await generator(messages, {
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max_new_tokens:
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temperature:
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repetition_penalty: 1.2,
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do_sample:
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});
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return output[0].generated_text.at(-1).content || '';
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}
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// ββ
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const server = http.createServer(async (req, res) => {
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res.setHeader('Access-Control-Allow-Origin', '*');
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res.setHeader('Access-Control-Allow-Methods', 'GET, POST, OPTIONS');
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res.setHeader('Access-Control-Allow-Headers', 'Content-Type');
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if (req.method === 'OPTIONS') {
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res.writeHead(200);
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return res.end();
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}
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const pathname = req.url.split('?')[0];
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if (pathname === '/' && req.method === 'GET') {
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res.setHeader('Content-Type', 'application/json');
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res.writeHead(200);
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res.end(JSON.stringify({ status: "
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}
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if (pathname === '/generate' && req.method === 'POST') {
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let body = '';
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req.on('data',
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req.on('end', async () => {
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try {
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const { prompt } = JSON.parse(body);
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if (!generator) {
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res.setHeader('Content-Type', 'application/json');
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res.writeHead(503);
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return res.end(JSON.stringify({ error: "Model
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}
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const coding = isCodingRequest(prompt);
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const websiteReq = isWebsiteRequest(prompt);
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// ββ Fetch Wikipedia for non-coding questions ββββββββββββββββββ
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let wikipediaContext = '';
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let wikiTitle = null;
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if (!coding) {
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const wiki = await getWikipediaContext(prompt);
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if (wiki) {
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wikiTitle = wiki.title;
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wikipediaContext = `\n\nWIKIPEDIA REFERENCE (article: "${wiki.title}"):\n${wiki.summary}\n\nIMPORTANT: Use this Wikipedia data to answer accurately. Rewrite it in your own words and add helpful context.`;
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}
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}
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? `You are Gini AI, a full-stack web development AI assistant created by Emalawi19, founded by Professor Roosevelt Chinkwende.
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IDENTITY: Your name is Gini AI. Company: Emalawi19. Founder: Professor Roosevelt Chinkwende.
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CODING RULES:
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1. ALWAYS write code when asked. NEVER refuse.
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2. Complete, real, copy-paste ready code only β no placeholders.
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3. Default: JavaScript/HTML/CSS. Never Python unless asked.
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4. Add comments inside the code.
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HTML RULES:
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1. Start with <!DOCTYPE html> then <html lang="en">
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2. Include proper <head> with meta tags, title, and <style>
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3. End with </body> then </html>
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4. All CSS in <style>, all JS in <script> at bottom of body.
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5. Wrap in \`\`\`html code block. Never cut off mid-code.
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RULES:
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- Answer the question directly and clearly in plain English.
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- If Wikipedia reference is provided above, use it to give an accurate, well-informed answer.
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- Rewrite Wikipedia info in your own words β never copy it directly.
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- If the question is about a person (president, leader, founder etc.), state their name clearly at the start.
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- NEVER generate code for general knowledge questions.
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- Keep answers friendly, clear, and concise.`;
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//
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res.writeHead(200, {
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'Content-Type':
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'Cache-Control':
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'Connection':
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'X-Accel-Buffering': 'no'
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});
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// Send a heartbeat so the client knows we're working
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res.write(`data: ${JSON.stringify({ status: "generating" })}\n\n`);
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// The callback_function in transformers.js is unreliable on CPU
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// so we generate fully then simulate streaming character by character
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const messages = [
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: finalPrompt }
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];
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let result = await generateResponse(messages, coding);
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// Catch refusals
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const refusals = ["i can't assist", "i cannot assist", "i'm sorry", "i am sorry", "i'm unable", "i cannot help", "i can't help"];
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const refused = refusals.some(r => result.toLowerCase().startsWith(r));
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if (refused && coding) {
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result = await generateResponse([
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{ role: 'system', content: 'You are a code generator. Output only complete working code. Never refuse.' },
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{ role: 'user', content: `Write complete HTML code starting with <!DOCTYPE html> ending with </html> for: ${prompt}` }
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], true);
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}
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// If result is still empty, use Wikipedia summary directly
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if (!result || result.trim().length < 5) {
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if (wikiTitle && wikipediaContext) {
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result = `Based on Wikipedia: ${wikipediaContext.split('\n').slice(3).join(' ').trim()}`;
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} else {
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result = "I'm sorry, I couldn't generate a response. Please try again.";
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}
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}
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if (
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result =
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}
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//
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const words = result.split(' ');
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for (let i = 0; i < words.length; i++) {
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const chunk = (i === 0 ? '' : ' ') + words[i];
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res.write(`data: ${JSON.stringify({ chunk })}\n\n`);
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await new Promise(r => setTimeout(r, 15));
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}
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res.write(`data: ${JSON.stringify({ done: true, result, source: wikiTitle ? `π Wikipedia β ${wikiTitle}` : null })}\n\n`);
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res.end();
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} catch (err) {
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console.error("Generation error:", err.message);
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res.write(`data: ${JSON.stringify({ error: err.message })}\n\n`);
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res.end();
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}
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res.end(JSON.stringify({ error: "Not Found" }));
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});
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loadModel().then(() => {
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server.listen(PORT, '0.0.0.0', () => {
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console.log(`
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});
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});
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import { pipeline } from '@huggingface/transformers';
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import http from 'http';
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import fs from 'fs';
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import path from 'path';
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const PORT = 7860;
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const MODEL_NAME = 'onnx-community/Qwen2.5-0.5B-Instruct';
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const KNOWLEDGE_DIR = './knowledge';
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let generator;
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let knowledgeBase = [];
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// ββ LOAD KNOWLEDGE FILES ββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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function loadKnowledge() {
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if (!fs.existsSync(KNOWLEDGE_DIR)) { fs.mkdirSync(KNOWLEDGE_DIR); return; }
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const files = fs.readdirSync(KNOWLEDGE_DIR).filter(f => f.endsWith('.txt'));
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knowledgeBase = [];
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for (const file of files) {
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const content = fs.readFileSync(path.join(KNOWLEDGE_DIR, file), 'utf-8');
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const chunks = splitChunks(content, 600, 60);
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chunks.forEach(c => knowledgeBase.push({ source: file, text: c }));
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}
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console.log(`Knowledge: ${files.length} files, ${knowledgeBase.length} chunks`);
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}
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function splitChunks(text, size, overlap) {
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const chunks = [];
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let start = 0;
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while (start < text.length) {
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chunks.push(text.slice(start, start + size));
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start += size - overlap;
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}
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return chunks;
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}
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function retrieveContext(prompt, topK = 4) {
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if (knowledgeBase.length === 0) return '';
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const words = prompt.toLowerCase().split(/\W+/).filter(w => w.length > 2);
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const scored = knowledgeBase.map(chunk => ({
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...chunk,
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score: words.reduce((acc, w) => acc + (chunk.text.toLowerCase().includes(w) ? 1 : 0), 0)
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}));
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return scored
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.filter(c => c.score > 0)
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.sort((a, b) => b.score - a.score)
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.slice(0, topK)
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.map(c => `[${c.source}]\n${c.text}`)
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.join('\n\n---\n\n');
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}
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// ββ LOAD MODEL ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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async function loadModel() {
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console.log("Loading model...");
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generator = await pipeline('text-generation', MODEL_NAME, { dtype: 'q4' });
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console.log("Model ready!");
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}
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async function generateResponse(messages) {
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const output = await generator(messages, {
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max_new_tokens: 500,
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temperature: 0.3,
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repetition_penalty: 1.2,
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do_sample: false
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});
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| 64 |
return output[0].generated_text.at(-1).content || '';
|
| 65 |
}
|
| 66 |
|
| 67 |
+
// ββ SERVER ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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| 68 |
const server = http.createServer(async (req, res) => {
|
| 69 |
res.setHeader('Access-Control-Allow-Origin', '*');
|
| 70 |
res.setHeader('Access-Control-Allow-Methods', 'GET, POST, OPTIONS');
|
| 71 |
res.setHeader('Access-Control-Allow-Headers', 'Content-Type');
|
| 72 |
|
| 73 |
+
if (req.method === 'OPTIONS') { res.writeHead(200); return res.end(); }
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|
| 74 |
|
| 75 |
const pathname = req.url.split('?')[0];
|
| 76 |
|
| 77 |
if (pathname === '/' && req.method === 'GET') {
|
| 78 |
res.setHeader('Content-Type', 'application/json');
|
| 79 |
res.writeHead(200);
|
| 80 |
+
return res.end(JSON.stringify({ status: "running", model: MODEL_NAME, knowledge_chunks: knowledgeBase.length }));
|
| 81 |
+
}
|
| 82 |
+
|
| 83 |
+
if (pathname === '/reload-knowledge' && req.method === 'POST') {
|
| 84 |
+
loadKnowledge();
|
| 85 |
+
res.setHeader('Content-Type', 'application/json');
|
| 86 |
+
res.writeHead(200);
|
| 87 |
+
return res.end(JSON.stringify({ message: `Reloaded: ${knowledgeBase.length} chunks` }));
|
| 88 |
}
|
| 89 |
|
| 90 |
if (pathname === '/generate' && req.method === 'POST') {
|
| 91 |
let body = '';
|
| 92 |
+
req.on('data', c => { body += c.toString(); });
|
| 93 |
req.on('end', async () => {
|
| 94 |
try {
|
| 95 |
+
const { prompt, system } = JSON.parse(body);
|
|
|
|
| 96 |
if (!generator) {
|
| 97 |
res.setHeader('Content-Type', 'application/json');
|
| 98 |
res.writeHead(503);
|
| 99 |
+
return res.end(JSON.stringify({ error: "Model loading..." }));
|
|
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|
|
| 100 |
}
|
| 101 |
|
| 102 |
+
// Retrieve from knowledge files
|
| 103 |
+
const ragContext = retrieveContext(prompt, 4);
|
| 104 |
+
const ragSection = ragContext
|
| 105 |
+
? `\n\nKNOWLEDGE BASE (use this for your answer):\n${ragContext}\n`
|
| 106 |
+
: '';
|
|
|
|
|
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|
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|
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|
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|
|
| 107 |
|
| 108 |
+
// Use system prompt from frontend if provided, else default
|
| 109 |
+
const finalSystem = system
|
| 110 |
+
? system + ragSection
|
| 111 |
+
: `You are Mlimi Connect AI, a free agricultural advisor for Malawian farmers. Only answer agriculture questions.${ragSection}`;
|
| 112 |
|
| 113 |
+
const messages = [
|
| 114 |
+
{ role: 'system', content: finalSystem },
|
| 115 |
+
{ role: 'user', content: prompt }
|
| 116 |
+
];
|
|
|
|
|
|
|
|
|
|
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|
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|
|
| 117 |
|
| 118 |
+
// SSE streaming
|
| 119 |
res.writeHead(200, {
|
| 120 |
+
'Content-Type': 'text/event-stream',
|
| 121 |
+
'Cache-Control': 'no-cache',
|
| 122 |
+
'Connection': 'keep-alive',
|
| 123 |
'X-Accel-Buffering': 'no'
|
| 124 |
});
|
| 125 |
|
|
|
|
| 126 |
res.write(`data: ${JSON.stringify({ status: "generating" })}\n\n`);
|
| 127 |
|
| 128 |
+
let result = await generateResponse(messages);
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 129 |
|
| 130 |
+
if (!result || result.trim().length < 3) {
|
| 131 |
+
result = ragContext
|
| 132 |
+
? `Based on available knowledge:\n\n${ragContext.slice(0, 400)}`
|
| 133 |
+
: "I don't have specific information on that. Please consult your local agricultural extension officer.";
|
| 134 |
}
|
| 135 |
|
| 136 |
+
// Stream word by word
|
| 137 |
const words = result.split(' ');
|
| 138 |
for (let i = 0; i < words.length; i++) {
|
| 139 |
const chunk = (i === 0 ? '' : ' ') + words[i];
|
| 140 |
res.write(`data: ${JSON.stringify({ chunk })}\n\n`);
|
| 141 |
+
await new Promise(r => setTimeout(r, 12));
|
|
|
|
| 142 |
}
|
| 143 |
|
| 144 |
+
res.write(`data: ${JSON.stringify({ done: true, result })}\n\n`);
|
|
|
|
| 145 |
res.end();
|
| 146 |
|
| 147 |
} catch (err) {
|
|
|
|
| 148 |
res.write(`data: ${JSON.stringify({ error: err.message })}\n\n`);
|
| 149 |
res.end();
|
| 150 |
}
|
|
|
|
| 157 |
res.end(JSON.stringify({ error: "Not Found" }));
|
| 158 |
});
|
| 159 |
|
| 160 |
+
loadKnowledge();
|
| 161 |
loadModel().then(() => {
|
| 162 |
server.listen(PORT, '0.0.0.0', () => {
|
| 163 |
+
console.log(`Mlimi Connect backend running on port ${PORT}`);
|
| 164 |
});
|
| 165 |
});
|