Follow the instructions for the development setup in the README.
The server can be reloaded automatically when application code changes. You can enable it by setting the
oas_dev env config, or starting the server with
You need Node.js and npm or yarn. yarn is recommended because it's much faster.
On Debian based systems use the following to install both Node.js and yarn:
curl -sL https://deb.nodesource.com/setup_12.x | sudo -E bash - curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add - echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list sudo apt update sudo apt install yarn nodejs
webpack-dev-server is included. In this folder, run
yarn to install all dependencies and then
yarn start to start the live-reloading development server. Then open the UI at http://localhost:4000. In development mode, the UI expects a running oas_worker server at
Make sure to run
yarn build in this directory after pulling in changes. The
oas_worker server serves the UI at
/ui from the
dist/ folder in this directory.
redis-commander is a useful tool to inspect the Redis database.
# install redis-commander yarn global add redis-commander # or: npm install -g redis-commander # start redis-commander redis-commander
Now, open your browser at http://localhost:8081/
cd oas_worker python worker.py
Run transcription using ASR engine in another Terminal:
cd oas_worker # download models if needed python task-run.py download_models # transcribe a single file python task-run.py asr --engine ENGINE [--language LANGUAGE] --file_path FILE_PATH [--help] # (e.g). python task-run.py asr --engine vosk --file_path ../examples/frn-leipzig.wav
Generate and serve Devset RSS feed on localhost port 6650:
cd oas_worker/ poetry run python devset/generate_devset.py sh devset/serve_nlp_devset.sh
Import RSS feed:
In UI, login first. Then head over to
Importer-Tab. There fill in the URL
http://127.0.0.1:6650/rss.xml into the
Add new feed-Section and make sure
to check the
In Search-UI, click on a post you want to inspect. From its URL, copy the Post-ID and paste it as argument to the examples nlp.py script:
cd oas_worker/examples poetry run python nlp.py <OAS-POST-ID>