Pocket TTS integration for Vision Agents - lightweight CPU-based text-to-speech
Project description
Pocket TTS Plugin
A lightweight Text-to-Speech (TTS) plugin for Vision Agents powered by Kyutai's Pocket TTS model. Runs efficiently on CPU with low latency (~200ms) and supports voice cloning.
Features
- Runs on CPU - no GPU required
- Small model size (100M parameters)
- Low latency (~200ms to first audio)
- Voice cloning support
- Built-in voice selection
Installation
uv add vision-agents[pocket]
Usage
from vision_agents.plugins import pocket
# Create TTS with default voice
tts = pocket.TTS()
# Or specify a built-in voice
tts = pocket.TTS(voice="marius")
# Or use a custom voice for cloning
tts = pocket.TTS(voice="path/to/your/voice.wav")
Configuration
| Parameter | Description | Values |
|---|---|---|
voice |
Built-in voice name or path to custom wav file | "alba" (default), "marius", "javert", "jean", "fantine", "cosette", "eponine", "azelma", or custom path |
Built-in Voices
alba- Default voicemariusjavertjeanfantinecosetteeponineazelma
Dependencies
- pocket-tts>=0.1.0
- PyTorch 2.5+
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