Upload folder using huggingface_hub

server.js

@@ -1,103 +1,7 @@
 import express from 'express';
-import { SystemMessage, HumanMessage, Runnable, LlamaCppLLM } from './src/index.js';
-import bodyParser from 'body-parser';
-import path from 'path';
-import fs from 'fs';
-
-// ... (Giữ nguyên logic EmailClassifierRunnable) ...
-class EmailClassifierRunnable extends Runnable {
-    constructor(llm) {
-        super();
-        this.llm = llm;
-    }
-    async _call(input, config) {
-        // Mock implementation if LLM fails
-        if (!this.llm) return { category: "Error", confidence: 0, reason: "LLM not initialized" };
-        
-        const messages = this._buildPrompt(input);
-        const response = await this.llm.invoke(messages, config);
-        return this._parseClassification(response.content);
-    }
-    _buildPrompt(email) {
-        return [
-            new SystemMessage(`You are an email classification assistant. Classify into: Spam, Invoice, Meeting Request, Urgent, Personal, Other. Respond in JSON.`),
-            new HumanMessage(`Classify:\nSubject: ${email.subject}\nBody: ${email.body}`)
-        ];
-    }
-    _parseClassification(response) {
-        try {
-            const jsonMatch = response.match(/\{[\s\S]*\}/);
-            if (!jsonMatch) throw new Error('No JSON');
-            return JSON.parse(jsonMatch[0]);
-        } catch (e) { return { category: 'Other', confidence: 0, reason: 'Parse fail' }; }
-    }
-}
-
 const app = express();
 const PORT = 7860;
 
-app.use(bodyParser.json());
-
-// Global error log
-const errorLog = [];
-
-app.get('/debug', (req, res) => {
-    res.json({
-        cwd: process.cwd(),
-        files: fs.readdirSync('.'),
-        models: fs.existsSync('./models') ? fs.readdirSync('./models') : 'No models dir',
-        errors: errorLog
-    });
-});
-
-let classifier = null;
-
-async function initModel() {
-    try {
-        console.log("Loading model...");
-        const modelPath = path.resolve('./models/Qwen3-1.7B-Q8_0.gguf');
-        
-        if (!fs.existsSync(modelPath)) {
-            throw new Error(`Model file not found at ${modelPath}`);
-        }
-
-        const llm = new LlamaCppLLM({
-            modelPath: modelPath,
-            temperature: 0.1,
-            maxTokens: 200
-        });
-        
-        // Test run
-        await llm.invoke("Hi");
-        
-        classifier = new EmailClassifierRunnable(llm);
-        console.log("Model loaded!");
-    } catch (err) {
-        console.error("Model Load Error:", err);
-        errorLog.push(err.toString());
-        // DO NOT EXIT, let the server run to debug
-    }
-}
-
-app.post('/classify', async (req, res) => {
-    if (!classifier) {
-        return res.status(503).json({
-            error: "Model not ready", 
-            logs: errorLog 
-        });
-    }
-    try {
-        const { subject, body } = req.body;
-        const result = await classifier.invoke({ subject, body, from: 'api' });
-        res.json(result);
-    } catch (error) {
-        res.status(500).json({ error: error.message });
-    }
-});
-
-app.get('/', (req, res) => res.send('Server Running (Check /debug for status)'));
+app.get('/', (req, res) => res.send('Hello World - Node is working'));
 
-app.listen(PORT, '0.0.0.0', () => {
-    console.log(`Listening on ${PORT}`);
-    initModel();
-});
+app.listen(PORT, '0.0.0.0', () => console.log(`Listening on ${PORT}`));