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whisperbox-transcribe

HTTP wrapper around openai/whisper.

API documentation

OpenAPI documentation can be accessed via <service_url>/docs.

Deploy

// TODO

Develop

docker compose is required for local development.

It is recommended to setup a virtual environment for python tooling. To install dependencies in your virtual env, run pip install -e .[tooling,web,worker].

Copy .env.test to .env to configure the service.

Start

make dev

Builds and starts the docker containers.

# Bindings
http://localhost:5555                   => Celery dashboard
http://whisperbox-transcribe.localhost  => API
http://whisperbox-transcribe.localhost  => API docs
./whisperbox-transcribe.sqlite          => Database

Destroy

This removes all containers and attached volumes.

make clean

Test

make test

Lint

make lint

Format

make fmt
Description
Easy to deploy API for transcribing and translating audio / video using OpenAI's whisper model.
Readme 307 KiB
Languages
Python 90.1%
Dockerfile 6.7%
Makefile 1.8%
Mako 1.4%