A simple AWS demo utilizes Amazon Transcribe to convert audio to text and do analyze. Demo site
Please consider to sponder this project for the AWS expenses.
- Setup AWS CLI and credential configuration (
aws configure
). - Run
yarn
to install all dependencies. - Run
yarn build
to build both front end and back end. - Run
yarn bootstrap
to initialize AWS CDK deployment. - Run
yarn deploy
to do the actual deployment.
If the deployment is successful, the cloudfront URL will be displayed in the output like:
Outputs:
AwsTranscribeDemoStack.CloudFrontURL = xxx.cloudfront.net
- Sign up Github Actions as a beta user.
- Save your AWS credential and region in Github repo's secret (
[YOUR_REPO_URL]/settings/secrets
)AWS_DEFAULT_REGION
: region nameAWS_ACCESS_KEY_ID
andAWS_SECRET_ACCESS_KEY
- Every push will trigger a build/deploy to AWS, check your repo's "Actions" tab for details.
- Static website built by React and hosted on S3.
- Upload audio file via website (click upload button):
- Call
GetToken
Lambda function via API gateway to get pre-signed URL for Audio File bucket. - Use S3 JS SDK to upload audio file directly to S3 with the pre-signed URL returned above.
- Newly uploaded audio file will trigger
NewAudio
Lambda function which will:- Create a record in DynamoDB
- Publish the record ID to
NewAudio
Topic in SNS - SNS will trigger
TranscribeAudio
Lambda function to submit audio transcription job via Amazon Transcribe service API
- Newly uploaded audio file will trigger
- Call
- Check audio transcription status via website (click search button):
- Call
GetAudios
Lambda function via API gateway to get transcription status- After getting record ID from DB, check the corresponding transcription job via Amazon Transcribe service API.
- If the job is ready, update the result URL to DB and return it to frontend.
- If the job is still processing, do nothing.
- Call