server.js

require('dotenv').config();
const express = require('express');
const cors = require('cors');
const multer = require('multer');
const path = require('path');
const fs = require('fs');
const OpenAI = require('openai');

const app = express();
const PORT = process.env.PORT || 3001;

// Configure storage for audio files
const storage = multer.diskStorage({
  destination: (req, file, cb) => {
    if (!fs.existsSync('./uploads')) {
      fs.mkdirSync('./uploads');
    }
    cb(null, './uploads/');
  },
  filename: (req, file, cb) => {
    cb(null, `audio-${Date.now()}${path.extname(file.originalname)}`);
  }
});

const upload = multer({ storage });

// Initialize OpenAI
const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY
});

// Middleware
app.use(cors());
app.use(express.json());
app.use(express.static('public'));

// Routes
app.post('/api/transcribe', upload.single('audio'), async (req, res) => {
  if (!req.file) {
    return res.status(400).json({ error: 'No audio file provided' });
  }

  try {
    // Revert to Whisper model for transcription
    const transcription = await openai.audio.transcriptions.create({
      file: fs.createReadStream(req.file.path),
      model: 'whisper-1',
    });

    // Delete the audio file after transcription
    fs.unlink(req.file.path, (err) => {
      if (err) console.error('Error deleting file:', err);
    });

    res.json({ transcription: transcription.text });
  } catch (error) {
    console.error('Error transcribing audio:', error);
    res.status(500).json({ error: 'Failed to transcribe audio' });
  }
});

app.listen(PORT, () => {
  console.log(`Server running on port ${PORT}`);
});