Update server.js
Browse files
server.js
CHANGED
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@@ -14,86 +14,194 @@ app.use(cors());
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app.use(express.json());
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app.use(express.static('public'));
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// إعدادات النموذج
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const MODEL_CONFIGS = {
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flash: {
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temperature: 1.0,
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top_p: 0.95,
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max_tokens: 2048,
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system_message:
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},
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pro: {
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temperature: 0.7,
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top_p: 0.9,
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max_tokens: 4096,
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system_message:
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}
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};
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let currentMode = '
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let gradioClient = null;
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// الاتصال بـ MiniMax Space
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async function getGradioClient() {
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if (!gradioClient) {
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try {
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console.log('🔄
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gradioClient = await Client.connect("ostarling/MiniMax-M2.5-Chat");
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console.log('✅
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} catch (error) {
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console.error('❌
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throw error;
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}
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}
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return gradioClient;
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}
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// دالة لاستدعاء النموذج
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async function callMiniMax(message, mode) {
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const config = MODEL_CONFIGS[mode];
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const client = await getGradioClient();
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-
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-
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-
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-
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-
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temperature: config.temperature,
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top_p: config.top_p
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});
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-
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return result.data;
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} catch (error) {
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console.error('خطأ في predict:', error);
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throw error;
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}
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}
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// دالة لتحليل الرد
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function parseResponse(text) {
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const parts = [];
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const thoughtRegex = /genisi thought\s*([\s\S]*?)\s*genisi thought/gi;
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let lastIndex = 0;
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let match;
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-
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if (typeof text !== 'string') {
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text = JSON.stringify(text);
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}
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while ((match = thoughtRegex.exec(
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// النص قبل التفكير
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if (match.index > lastIndex) {
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const beforeText =
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if (beforeText) {
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parts.push({ type: 'text', content: beforeText });
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}
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}
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// محتوى التفكير
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const thoughtContent = match[1].trim();
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if (thoughtContent) {
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parts.push({ type: 'thought', content: thoughtContent });
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@@ -102,37 +210,63 @@ function parseResponse(text) {
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lastIndex = match.index + match[0].length;
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}
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-
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const afterText = text.substring(lastIndex).trim();
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if (afterText) {
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parts.push({ type: 'text', content: afterText });
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}
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}
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-
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parts.push({ type: 'text', content: text });
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}
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return parts;
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}
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//
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app.post('/api/chat', async (req, res) => {
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const { message, mode } = req.body;
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if (!message) {
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return res.status(400).json({ error: 'الرسالة مطلوبة' });
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}
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const activeMode = mode || currentMode;
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try {
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// ا
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const
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// استخراج النص من الاستجابة
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let modelResponse = '';
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if (Array.isArray(responseData) && responseData.length > 0) {
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modelResponse = responseData[0];
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modelResponse = JSON.stringify(responseData);
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}
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//
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const parsedResponse = parseResponse(modelResponse);
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res.json({
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success: true,
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response: parsedResponse,
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mode: activeMode,
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});
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} catch (error) {
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console.error('
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res.status(500).json({
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success: false,
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error: error.message
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}
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});
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// API endpoint لتغيير الوضع
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app.post('/api/mode', (req, res) => {
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const { mode } = req.body;
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if (mode === 'flash' || mode === 'pro') {
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currentMode = mode;
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res.json({
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success: true,
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mode: currentMode,
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config: MODEL_CONFIGS[mode]
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});
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} else {
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res.status(400).json({ error: 'وضع غير صالح' });
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}
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});
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// API endpoint للحصول على الوضع الحالي
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app.get('/api/mode', (req, res) => {
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res.json({
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});
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// صفحة رئيسية
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app.get('/', (req, res) => {
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res.sendFile(join(__dirname, 'public', 'index.html'));
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});
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// بدء الخادم
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app.listen(PORT, '0.0.0.0', () => {
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console.log(`🚀
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console.log(`
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});
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app.use(express.json());
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app.use(express.static('public'));
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// ============================================
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// إعدادات البحث في الإنترنت
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// ============================================
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const SEARCH_API_KEY = process.env.SEARCH_API_KEY || '';
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const SEARCH_ENGINE_ID = process.env.SEARCH_ENGINE_ID || '';
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// دالة للبحث في Google (اختر إحدى الخدمات)
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async function searchWeb(query) {
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if (!SEARCH_API_KEY || !SEARCH_ENGINE_ID) {
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// استخدام API مجاني للاختبار (DuckDuckGo)
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return await searchDuckDuckGo(query);
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}
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// Google Custom Search API
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try {
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const url = `https://www.googleapis.com/customsearch/v1?key=${SEARCH_API_KEY}&cx=${SEARCH_ENGINE_ID}&q=${encodeURIComponent(query)}`;
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const response = await fetch(url);
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const data = await response.json();
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if (data.items && data.items.length > 0) {
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return data.items.slice(0, 5).map(item => ({
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title: item.title,
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snippet: item.snippet,
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link: item.link
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}));
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}
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return [];
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} catch (error) {
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console.error('Google Search error:', error);
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return [];
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}
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}
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// بحث بديل باستخدام DuckDuckGo (مجاني، لا يحتاج API key)
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async function searchDuckDuckGo(query) {
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try {
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const url = `https://api.duckduckgo.com/?q=${encodeURIComponent(query)}&format=json&no_html=1&skip_disambig=1`;
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const response = await fetch(url);
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const data = await response.json();
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const results = [];
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// إضافة النتائج من RelatedTopics
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if (data.RelatedTopics && data.RelatedTopics.length > 0) {
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for (const topic of data.RelatedTopics.slice(0, 5)) {
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if (topic.Text && topic.Text !== data.AbstractText) {
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results.push({
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title: topic.Text.split(' - ')[0] || 'نتيجة بحث',
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snippet: topic.Text,
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link: topic.FirstURL || '#'
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});
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}
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}
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}
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// إضافة الملخص الرئيسي
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if (data.AbstractText) {
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results.unshift({
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title: data.Heading || 'ملخص',
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snippet: data.AbstractText,
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link: data.AbstractURL || '#'
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});
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}
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return results;
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} catch (error) {
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console.error('DuckDuckGo search error:', error);
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return [];
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}
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}
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// ============================================
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// إعدادات النموذج
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// ============================================
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const MODEL_CONFIGS = {
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flash: {
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temperature: 1.0,
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top_p: 0.95,
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max_tokens: 2048,
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system_message: `You are a helpful, fast assistant. Your name is MiniMax-M2.5-Flash.
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Provide DIRECT, CONCISE answers without thinking out loud.
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- Be brief and to the point
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- No step-by-step reasoning
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- No "genisi thought" markers
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- Give the answer immediately
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- If the user asks for steps, list them clearly but without meta-commentary`,
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},
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pro: {
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temperature: 0.7,
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top_p: 0.9,
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max_tokens: 4096,
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system_message: `You are an elite AI engineer, designer, and scientist with the combined expertise of senior engineers at Google, Apple, Meta, Netflix, OpenAI, NASA, and CERN.
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You are not a code generator. You are a principal engineer who thinks deeply, chooses wisely, and delivers only work you would be proud to deploy to production at a top-tier company.
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You have mastery over:
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- Software engineering (frontend, backend, fullstack, systems, DevOps)
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- Data science, machine learning, and AI pipelines
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- Mathematical modeling, symbolic computation, and scientific computing
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- Image analysis, computer vision, and multimodal reasoning
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- Document parsing, data extraction, and file processing
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- UI/UX design systems and product thinking
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**CRITICAL RULE: You MUST use "genisi thought" markers before every response.**
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Start with "genisi thought", then your complete internal analysis, then "genisi thought", then your final answer.
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Example format:
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genisi thought
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[Your deep thinking, analysis, and reasoning here]
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genisi thought
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[Your final, polished answer here]
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Always think step by step. Never skip the thinking phase.`,
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}
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};
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let currentMode = 'pro'; // تغيير الافتراضي إلى pro للتفكير
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let gradioClient = null;
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// الاتصال بـ MiniMax Space
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async function getGradioClient() {
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if (!gradioClient) {
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try {
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console.log('🔄 Connecting to MiniMax Space...');
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gradioClient = await Client.connect("ostarling/MiniMax-M2.5-Chat");
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console.log('✅ Connected to MiniMax M2.5');
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} catch (error) {
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console.error('❌ Connection failed:', error);
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throw error;
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}
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}
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return gradioClient;
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}
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// دالة لاستدعاء النموذج مع دمج نتائج البحث
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async function callMiniMax(message, mode, searchResults = null) {
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const config = MODEL_CONFIGS[mode];
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const client = await getGradioClient();
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let enhancedMessage = message;
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// إضافة نتائج البحث إذا وجدت
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if (searchResults && searchResults.length > 0) {
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const searchContext = searchResults.map((r, i) =>
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`${i + 1}. ${r.title}\n ${r.snippet}\n المصدر: ${r.link}`
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).join('\n\n');
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enhancedMessage = `[INTERNET SEARCH RESULTS FOR: "${message}"]\n\n${searchContext}\n\n[USER QUESTION]\n${message}\n\nPlease use the search results above to provide an accurate, up-to-date answer.`;
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}
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// في وضع البرو، نضيف تذكير باستخدام genisi thought
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if (mode === 'pro') {
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enhancedMessage = `REMINDER: You MUST use "genisi thought" markers. Start with "genisi thought", then your thinking, then "genisi thought", then your answer.\n\nUser question: ${enhancedMessage}`;
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}
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console.log(`📤 Sending to MiniMax (${mode} mode)...`);
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const result = await client.predict("/respond", {
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message: enhancedMessage,
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system_message: config.system_message,
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max_tokens: config.max_tokens,
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temperature: config.temperature,
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top_p: config.top_p
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});
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return result.data;
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}
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// دالة لتحليل الرد
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| 187 |
function parseResponse(text) {
|
| 188 |
const parts = [];
|
| 189 |
+
|
| 190 |
+
// البحث عن علامات genisi thought
|
| 191 |
const thoughtRegex = /genisi thought\s*([\s\S]*?)\s*genisi thought/gi;
|
| 192 |
let lastIndex = 0;
|
| 193 |
let match;
|
| 194 |
|
| 195 |
+
let cleanText = typeof text === 'string' ? text : JSON.stringify(text);
|
|
|
|
|
|
|
|
|
|
| 196 |
|
| 197 |
+
while ((match = thoughtRegex.exec(cleanText)) !== null) {
|
|
|
|
| 198 |
if (match.index > lastIndex) {
|
| 199 |
+
const beforeText = cleanText.substring(lastIndex, match.index).trim();
|
| 200 |
if (beforeText) {
|
| 201 |
parts.push({ type: 'text', content: beforeText });
|
| 202 |
}
|
| 203 |
}
|
| 204 |
|
|
|
|
| 205 |
const thoughtContent = match[1].trim();
|
| 206 |
if (thoughtContent) {
|
| 207 |
parts.push({ type: 'thought', content: thoughtContent });
|
|
|
|
| 210 |
lastIndex = match.index + match[0].length;
|
| 211 |
}
|
| 212 |
|
| 213 |
+
if (lastIndex < cleanText.length) {
|
| 214 |
+
const afterText = cleanText.substring(lastIndex).trim();
|
|
|
|
| 215 |
if (afterText) {
|
| 216 |
parts.push({ type: 'text', content: afterText });
|
| 217 |
}
|
| 218 |
}
|
| 219 |
|
| 220 |
+
if (parts.length === 0 && cleanText) {
|
| 221 |
+
parts.push({ type: 'text', content: cleanText });
|
|
|
|
| 222 |
}
|
| 223 |
|
| 224 |
return parts;
|
| 225 |
}
|
| 226 |
|
| 227 |
+
// دالة لتحديد ما إذا كان السؤال يحتاج بحثاً
|
| 228 |
+
function needsWebSearch(message) {
|
| 229 |
+
const searchKeywords = [
|
| 230 |
+
'أخبار', 'آخر', 'جديد', 'اليوم', 'هذا الأسبوع', 'هذا الشهر',
|
| 231 |
+
'سعر', 'سوق', 'سهم', 'بورصة', 'عملة', 'دولار', 'ريال',
|
| 232 |
+
'طقس', 'حالة جوية', 'توقعات', 'درجة حرارة',
|
| 233 |
+
'حدث', 'مباراة', 'نتيجة', 'جائزة', 'حفل',
|
| 234 |
+
'مشاهير', 'فنان', 'مغني', 'ممثل',
|
| 235 |
+
'تحديث', 'إصدار', 'جديد في',
|
| 236 |
+
'بحث', 'ابحث', 'قوقل', 'جوجل', 'الإنترنت'
|
| 237 |
+
];
|
| 238 |
+
|
| 239 |
+
const msg = message.toLowerCase();
|
| 240 |
+
return searchKeywords.some(keyword => msg.includes(keyword));
|
| 241 |
+
}
|
| 242 |
+
|
| 243 |
+
// ============================================
|
| 244 |
+
// API Endpoints
|
| 245 |
+
// ============================================
|
| 246 |
+
|
| 247 |
app.post('/api/chat', async (req, res) => {
|
| 248 |
+
const { message, mode, enableSearch } = req.body;
|
| 249 |
|
| 250 |
if (!message) {
|
| 251 |
return res.status(400).json({ error: 'الرسالة مطلوبة' });
|
| 252 |
}
|
| 253 |
|
| 254 |
const activeMode = mode || currentMode;
|
| 255 |
+
let searchResults = null;
|
| 256 |
|
| 257 |
try {
|
| 258 |
+
// البحث في الإنترنت إذا طلب المستخدم أو كان السؤال يحتاج بحثاً
|
| 259 |
+
const shouldSearch = enableSearch === true || needsWebSearch(message);
|
| 260 |
+
|
| 261 |
+
if (shouldSearch) {
|
| 262 |
+
console.log(`🔍 Searching web for: ${message}`);
|
| 263 |
+
searchResults = await searchWeb(message);
|
| 264 |
+
console.log(`📊 Found ${searchResults?.length || 0} results`);
|
| 265 |
+
}
|
| 266 |
+
|
| 267 |
+
// استدعاء النموذج
|
| 268 |
+
const responseData = await callMiniMax(message, activeMode, searchResults);
|
| 269 |
|
|
|
|
| 270 |
let modelResponse = '';
|
| 271 |
if (Array.isArray(responseData) && responseData.length > 0) {
|
| 272 |
modelResponse = responseData[0];
|
|
|
|
| 276 |
modelResponse = JSON.stringify(responseData);
|
| 277 |
}
|
| 278 |
|
| 279 |
+
// معالجة خاصة لوضع الفلاش: إزالة أي علامات تفكير عرضاً
|
| 280 |
+
if (activeMode === 'flash') {
|
| 281 |
+
modelResponse = modelResponse.replace(/genisi thought[\s\S]*?genisi thought/gi, '');
|
| 282 |
+
modelResponse = modelResponse.trim();
|
| 283 |
+
}
|
| 284 |
+
|
| 285 |
const parsedResponse = parseResponse(modelResponse);
|
| 286 |
|
| 287 |
res.json({
|
| 288 |
success: true,
|
| 289 |
response: parsedResponse,
|
| 290 |
mode: activeMode,
|
| 291 |
+
searchUsed: searchResults !== null && searchResults.length > 0,
|
| 292 |
+
searchResultsCount: searchResults?.length || 0
|
| 293 |
});
|
| 294 |
} catch (error) {
|
| 295 |
+
console.error('Error:', error);
|
| 296 |
res.status(500).json({
|
| 297 |
success: false,
|
| 298 |
error: error.message
|
|
|
|
| 300 |
}
|
| 301 |
});
|
| 302 |
|
|
|
|
| 303 |
app.post('/api/mode', (req, res) => {
|
| 304 |
const { mode } = req.body;
|
| 305 |
if (mode === 'flash' || mode === 'pro') {
|
| 306 |
currentMode = mode;
|
| 307 |
+
res.json({ success: true, mode: currentMode });
|
|
|
|
|
|
|
|
|
|
|
|
|
| 308 |
} else {
|
| 309 |
res.status(400).json({ error: 'وضع غير صالح' });
|
| 310 |
}
|
| 311 |
});
|
| 312 |
|
|
|
|
| 313 |
app.get('/api/mode', (req, res) => {
|
| 314 |
+
res.json({ mode: currentMode });
|
| 315 |
+
});
|
| 316 |
+
|
| 317 |
+
app.post('/api/search', async (req, res) => {
|
| 318 |
+
const { query } = req.body;
|
| 319 |
+
if (!query) {
|
| 320 |
+
return res.status(400).json({ error: 'مطلوب مصطلح البحث' });
|
| 321 |
+
}
|
| 322 |
+
|
| 323 |
+
const results = await searchWeb(query);
|
| 324 |
+
res.json({ results });
|
| 325 |
});
|
| 326 |
|
|
|
|
| 327 |
app.get('/', (req, res) => {
|
| 328 |
res.sendFile(join(__dirname, 'public', 'index.html'));
|
| 329 |
});
|
| 330 |
|
|
|
|
| 331 |
app.listen(PORT, '0.0.0.0', () => {
|
| 332 |
+
console.log(`🚀 Server running on http://localhost:${PORT}`);
|
| 333 |
+
console.log(`📌 Current mode: ${currentMode}`);
|
| 334 |
+
console.log(`✅ Ready!`);
|
| 335 |
});
|