uploadfile.js

var http = require('http');
var formidable = require('formidable');
var fs = require('fs');

async function main() {
  // Imports the Google Cloud client library
  const speech = require('@google-cloud/speech');
  const fs = require('fs');


//create a server
  var filename = http.createServer(function (req, res) {
    if (req.url == '/fileupload') {
      var form = new formidable.IncomingForm();
      form.parse(req, function (err, fields, files) {
        var oldpath = files.filetoupload.path;
        var newpath = '/cmdfaudio' + files.filetoupload.name;
        
        fs.rename(oldpath, newpath, function (err) {
          if (err) throw err;
          res.write('File uploaded and moved!');
          res.end();
          return files.filetoupload.name;
        });
   });
    } else {
      res.writeHead(200, {'Content-Type': 'text/html'});
      res.write('<form action="fileupload" method="post" enctype="multipart/form-data">');
      res.write('<input type="file" name="filetoupload"><br>');
      res.write('<input type="submit">');
      res.write('</form>');
      return res.end();
    }
  }).listen(8080);


  // Creates a client
  const client = new speech.SpeechClient();

  // The audio file's encoding, sample rate in hertz, and BCP-47 language code
  const audio = {
    uri: `gs://cmdfaudio/${filename}`,
  };
  const config = {
    encoding: 'FLAC',
    sampleRateHertz: 22050,
    languageCode: 'en-US',
  };
  const request = {
    audio: audio,
    config: config,
  };
  // Detects speech in the audio file. This creates a recognition job that you
  // can wait for now, or get its result later.
  const [operation] = await client.longRunningRecognize(request);
  // Get a Promise representation of the final result of the job
  const [response] = await operation.promise();
  const transcription = response.results
    .map(result => result.alternatives[0].transcript)
    .join('\n');
  console.log(`Transcription: ${transcription}`);
}
main().catch(console.error);