Llasa TTS Dashboard

A powerful, local text-to-speech system powered by Llasa TTS models. This project offers a modern, interactive dashboard that supports multiple model sizes (1B, 3B, and 8B) and introduces a new Podcast Mode for multi-speaker conversation synthesis.

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Overview

The Llasa TTS Dashboard transforms traditional text-to-speech pipelines into a robust, user-friendly application. With efficient GPU utilization, and flexible generation controls, the dashboard is designed for both developers and end users who demand high-quality speech synthesis.

Key Features

• Multi-Model Support

Switch easily between 1B, 3B, and 8B models.

• Standard TTS Mode

Generate natural-sounding speech either from plain text or with a reference audio prompt.

• Podcast Mode

Create multi-speaker podcasts from transcripts. Configure reference audio and seeds for each speaker to produce consistent character voices.

• Advanced Generation Controls

Fine-tune parameters such as max length, temperature, and top-p. Use random or fixed seeds for reproducibility.

• Clean & Modern UI

A sleek, two-panel interface built with Gradio. Enjoy a dark theme that enhances readability.

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System Requirements

• Python 3.10+

• CUDA-Capable NVIDIA GPU

• VRAM Requirements:

• 8.5 GB+ VRAM: When running with Whisper Large Turbo in 4-bit mode.

• 6.5 GB+ VRAM: When running without Whisper and using the LLM in 4-bit mode.

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Installation

Clone the Repository

git  clone  https://github.com/nivibilla/local_llasa_tts.git

cd  local_llasa_tts

Setup the Environment

If you're on Windows, this works best when using WSL2. Install the necessary dependencies:

pip  install  -r  requirements_base.txt

pip  install  -r  requirements_native_hf.txt

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Usage

You can start the application in several ways:

Run via Module

From the project root directory, execute:

python  -m  src.main

Using Provided Scripts

• Unix/Linux/Mac:

Make sure run.sh is executable and run it:

chmod +x run.sh

./run.sh

• Windows:

Double-click run.bat or run it from the command prompt:

run.bat

Dashboard Modes

Standard TTS Mode

• Model Selection: Choose between 1B, 3B, or 8B.

• Generation Mode: Select "Text only" or "Reference audio."

• Advanced Settings: Adjust max length, temperature, and top-p.

• Output: Listen to the synthesized speech and review previous generations.

Podcast Mode

• Transcript Input: Enter a conversation transcript with each line formatted as Speaker Name: message.

• Speaker Configuration: Optionally provide reference audio and seeds for each speaker.

• Advanced Settings: Configure generation parameters similar to Standard TTS.

• Output: Generate a complete podcast audio file with seamless transitions.

Screenshot:

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Additional Resources

• Long Text Inference:

Refer to llasa_vllm_longtext_inference.ipynb for handling long text inputs using VLLM and chunking.

• Google Colab:

If you do not have a suitable local GPU, try our Colab Notebook.

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Acknowledgements

• Original LLaSA Training Repository: Inspired by zhenye234/LLaSA_training.

• Gradio Demo Inspiration: UI concepts adapted from mrfakename/E2-F5-TTS.