const WebSocket = require('ws');
const wss = new WebSocket.Server({ port: 8081 });
console.log('WebSocket server started on port 8081');

//we use https://hub.docker.com/r/onerahmet/openai-whisper-asr-webservice to transcribe the audio
//docker run -p 9009:9009 -d onerahmet/openai-whisper-asr-webservice

wss.on('connection', (ws) => {
    console.log('Client ' + ws._socket.remoteAddress + ' connected');
    ws.on('message', (data) => {
        console.log('Received data from client: ' + data.length + ' bytes');
        var request = require('request');
        var formData = {
            task: 'transcribe',
            language: 'en-US',
            output: 'json',
            audio_file: {
                value: data,
                options: {
                    filename: 'audio.ogg',
                    contentType: 'audio/ogg'
                }
            }
        };
        request.post({url:'http://192.168.0.10:9009/asr', formData: formData}, function optionalCallback(err, httpResponse, body) {
            if (err) {
                return console.error('upload failed:', err);
            }
            console.log('Upload successful!  Server responded with:', body);
            ws.send(">>: " + body);
        });

        ws.send("Processing audio...");
    });
});

function transcribeAudio(audioData) {
    // Use a speech-to-text library to transcribe the audio data
    //return transcription;
    return "TEST";
}


// --- web server that servers client.html
const express = require('express');
const app = express();
const path = require('path');

app.get('/', (req, res) => {
    res.sendFile(path.join(__dirname, 'client.html'));
});

app.listen(8080, () => {
    console.log('Server listening on port 8080');
});