Model trained and environment fixed

server.js

@@ -0,0 +1,46 @@
+const express = require('express');
+const cors = require('cors');
+const morgan = require('morgan');
+const fs = require('fs');
+const path = require('path');
+
+const app = express();
+const PORT = 3000;
+const LOG_FILE = path.join(__dirname, 'detections.json');
+
+// Middleware
+app.use(cors());
+app.use(morgan('dev'));
+app.use(express.json());
+app.use(express.static('public'));
+
+// Helper to read/write logs
+const getLogs = () => {
+    if (!fs.existsSync(LOG_FILE)) return [];
+    const data = fs.readFileSync(LOG_FILE);
+    return JSON.parse(data);
+};
+
+const saveLog = (log) => {
+    const logs = getLogs();
+    logs.push({ ...log, id: Date.now(), timestamp: new Date() });
+    fs.writeFileSync(LOG_FILE, JSON.stringify(logs, null, 2));
+};
+
+// API Routes
+app.get('/api/detections', (req, res) => {
+    res.json(getLogs());
+});
+
+app.post('/api/detections', (req, res) => {
+    const { label, confidence } = req.body;
+    if (!label || !confidence) {
+        return res.status(400).json({ error: 'Faltan datos de clasificación' });
+    }
+    saveLog({ label, confidence });
+    res.status(201).json({ message: 'Detección guardada correctamente' });
+});
+
+app.listen(PORT, () => {
+    console.log(`Servidor Backend ejecutándose en http://localhost:${PORT}`);
+});