initial commit

web/server.js

@@ -0,0 +1,55 @@
+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');
+});