OpenAI Whisper API

This is is a OpenAI Whisper API microservice using Node.js / Bun.sh / Typescript that can run on Docker. With zero dependencies.

It listens to the /transcribe route for MP3 files and returns the text transcription.

Running locally

Install bun.sh first, clone this directory and run these commands:

bun install
bun run dev

You can now navigate to http://localhost:3000 or the PORT provided, see the Usage section below.

Docker

• See: https://hub.docker.com/r/illyism/openai-whisper-api

Google Cloud Run Deployment

Install bun.sh first, clone this directory and run these commands: Change the project ID to your own.

docker build --platform linux/amd64 -t gcr.io/magicbuddy-chat/whisper-docker .
docker push gcr.io/magicbuddy-chat/whisper-docker

gcloud run deploy whisper-docker \
  --image gcr.io/magicbuddy-chat/whisper-docker  \
  --platform managed \
  --region us-central1 \
  --allow-unauthenticated \
  --project magicbuddy-chat

You should receive a Service URL, see the Usage section below.

Usage

You can test normal HTTP by opening the /ping endpoint on the URL.

Connect to the /transcribe and send a POST request with the following body:

{
  "audio": "BASE64_ENCODED_AUDIO"
}

API Key

You need to pass the OpenAI API Key as a HEADER:

Authorization: Bearer OPENAI_KEY

Or you can launch the docker image or server with OPENAI_KEY in the env:

OPENAI_KEY=YOUR_KEY_HERE bun run dev

# or

docker run -p 3000:3000 -e OPENAI_KEY=YOUR_KEY_HERE gcr.io/magicbuddy-chat/whisper-docker

# or set it as env in Cloud Run with the below command or in the Cloud Console UI

gcloud run deploy whisper-docker \
  --image gcr.io/magicbuddy-chat/whisper-docker  \
  --platform managed \
  --region us-central1 \
  --allow-unauthenticated \
  --project magicbuddy-chat \
  --set-env-vars OPENAI_KEY=YOUR_KEY_HERE

Live example

We are using this Whisper API with MagicBuddy, a Telegram ChatGPT bot.

You can use the OpenAI Whisper Docker as a live example here:

• https://magicbuddy.chat/openai-whisper