Text To Speech (TTS) Server setup

Generate .wav file from text input.

Using https://github.com/coqui-ai/TTS

This repo shows how to set-up and run your own TTS server using those models.

Install / run

Install server requirements (only run on server)

./install.sh

Local development

Note the requirements-api.txt is not requirements.txt

python3 -m venv venv
. venv/bin/activate
pip install -r requirements-api.txt
export FLASK_APP=app
export FLASK_DEBUG=1
flask run

After you have a ven, you can also use the shortcut

./run.sh

Run Docker container

docker pull ghcr.io/karmacomputing/tts-server/tts-server:main
docker run -p 5000:5000 -it tts-server

Visit http://127.0.0.1:9090

Run Docker container from github package

docker pull ghcr.io/karmacomputing/tts-server/tts-server:main
docker run -p 9090:9090 -it ghcr.io/karmacomputing/tts-server/tts-server:main

Visit http://127.0.0.1:9090

Example requests

Note the lang= which you can set to the supported language codes (see supported_languages in app.py

Also

Note: The language models tend to work better with a paragraph or more. single world or short phrases less.

curl

French

curl 'https://api.example.com/submit' \
  -H 'authority: api.verby.co' \
  -H 'content-type: application/x-www-form-urlencoded' \
  --data-raw 'text=Le+gros+chien+brun+a+saut%C3%A9+par-dessus+la+b%C3%BBche+paresseuse.&lang=fr' \
  --compressed

German de

curl 'https://api.example.com/submit' \
  -H 'authority: api.verby.co' \
  -H 'cache-control: max-age=0' \
  -H 'content-type: application/x-www-form-urlencoded' \
  --data-raw 'text=Deine+augen+sind+wie+sterne.&lang=de' \
  --compressed

fetch example for French fr

French fr

fetch("https://api.example.com/submit", {
  "headers": {
    "content-type": "application/x-www-form-urlencoded",
    "upgrade-insecure-requests": "1"
  },
  "body": "text=Le+gros+chien+brun+a+saut%C3%A9+par-dessus+la+b%C3%BBche+paresseuse.&lang=fr",
  "method": "POST",
  "mode": "cors",
});

How to I api request the other languages?

Change the lang attribute in your api call to a supported language code. The language codes currently supported are:

• en English
• de German
• es Spanish
• fr French
• de German
• zh-cn Chinese
• nl Dutch (Standard)
• tr Turkish
• it Italian (Standard)
• ja Japanese