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Text-to-speech using the Azure OpenAI TTS API
Install this plugin in the same environment as LLM.
llm install llm-azure-tts
The plugin adds a new command, llm azure-tts
. Use it like this:
llm azure-tts "Hello" --output audio.mp3
The synthesized text will be output directly to the specified location.
For full options, run llm azure-tts --help
.
The plugin will use the API key configured using:
llm keys set azure-tts
# Paste key here
You can also pass an explicit API key using --key
like this:
llm azure-tts "Hello" --key $AZURE_OPENAI_TTS_API_KEY --output audio.mp3
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-azure-tts
python -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
llm install -e '.[test]'
To run the tests:
python -m pytest
FAQs
Text-to-speech using the Azure OpenAI TTS API
We found that llm-azure-tts demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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