You could deploy the code using google app engine and make a post req from react-native.
Also need to configure and use google cloud storage to store the audio file for conversion.
Here is my server code.
const format = require('util').format;
const fs = require('fs');
const express = require('express');
const multer = require('multer');
const requestHttp = require('request');
const {Storage} = require('@google-cloud/storage');
// Instantiate a storage client
const storage = new Storage();
// const upload = multer();
const app = express();
// Imports the Google Cloud client library
const speech = require('@google-cloud/speech');
// Creates a client
const client = new speech.SpeechClient();
/**
* TODO(developer): Uncomment the following lines before running the sample.
*/
const encoding = 'LINEAR16';
const sampleRateHertz = 16000;
const languageCode = 'en-US';
const upload = multer({
storage: multer.memoryStorage(),
limits: {
fileSize: 5 * 1024 * 1024, // no larger than 5mb, you can change as needed.
},
});
const bucket = storage.bucket(process.env.GCLOUD_STORAGE_BUCKET);
app.post('/upload', upload.single('file') , async (req, res) => {
const file = await req.file
if (!file) {
const error = new Error('Please upload a file')
error.httpStatusCode = 400
return next(error)
}
// Create a new blob in the bucket and upload the file data.
const blob = bucket.file(req.file.originalname);
const blobStream = blob.createWriteStream({
resumable: false,
});
blobStream.on('error', err => {
next(err);
});
blobStream.on('finish', async () => {
// The public URL can be used to directly access the file via HTTP.
const publicUrl = await format(
`https://storage.googleapis.com/${bucket.name}/${blob.name}`
);
const request = {
config: {
encoding: encoding,
sampleRateHertz: sampleRateHertz,
languageCode: languageCode,
},
audio: {
uri: 'gs://YOUR-Bucket-Name/File-name.ext'
}
};
// Stream the audio to the Google Cloud Speech API
const [response] = await client.recognize(request);
const transcription = response.results
.map(result => result.alternatives[0].transcript)
.join('\n');
console.log(`Transcription: `, transcription);
res.status(200)
.send({
success: 'true',
message: 'Text retrieved successfully',
text: transcription
})
.end();
});
blobStream.end(req.file.buffer);
});
const PORT = process.env.PORT || 8080;
app.listen(PORT, () => {
console.log(`App listening on port ${PORT}`);
console.log('Press Ctrl+C to quit.');
});