Text to Speech (Lightning)

Voices & Languages

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Query the API to get available voices, models, and languages. Use the REST API or Python SDK.

Requirements

Before you begin, ensure you have the following:

  • Python (3.9 or higher) installed on your machine.
  • An API key from the Smallest AI platform.
  • The Smallest AI Python SDK installed. If you haven’t installed it yet, follow the instructions below:

Install the SDK

$pip install smallestai

Set your API key as an environment variable:

$export SMALLEST_API_KEY=YOUR_API_KEY

Fetch Available Voices, Models, and Languages

The Smallest AI SDK allows you to query the available languages, voices, and models for your TTS needs. Here’s how you can do it:

python
1from smallestai.waves import WavesClient
2
3def main():
4    client = WavesClient(api_key="YOUR_API_KEY")
5
6    # Get available languages
7    languages = client.get_languages()
8    print(f"Available Languages: {languages}")
9
10    # Get available voices for the "lightning-v3.1" model
11    voices = client.get_voices(model="lightning-v3.1")
12    print(f"Available Voices (Model: 'lightning-v3.1'): {voices}")
13
14    # Get user-specific cloned voices
15    cloned_voices = client.get_cloned_voices()
16    print(f"Available Cloned Voices: {cloned_voices}")
17
18    # Get available models
19    models = client.get_models()
20    print(f"Available Models: {models}")
21
22if __name__ == "__main__":
23    main()

Explanation of Functions

  • get_languages(): Retrieves the list of supported languages for Text-to-Speech.
  • get_voices(model="model_name"): Retrieves the voices available for a specific model (e.g., “lightning-v3.1”).
  • get_cloned_voices(): Fetches all user-specific cloned voices.
  • get_models(): Retrieves the TTS models on the platform available through API.

Need Help?

If you have any questions or encounter issues, our community is here to help!