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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]"
# or directly
uv add vision-agents-plugins-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 voice
  • marius
  • javert
  • jean
  • fantine
  • cosette
  • eponine
  • azelma

Dependencies

  • pocket-tts>=0.1.0
  • PyTorch 2.5+

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