TTS-WebUI
Enrichment pendingA single Gradio + React WebUI with extensions for ACE-Step, OmniVoice, Kimi Audio, Piper TTS, GPT-SoVITS, CosyVoice, XTTSv2, DIA, Kokoro, OpenVoice, ParlerTTS, Stable Audio, MMS, StyleTTS2, MAGNet, Au
GraphCanon updated today · GitHub synced today
Trust & integrity
Full report- Maintenance
- Very active (5d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Personal account
- As of today · Source: github_public_v1
- Security (OSV)
- 20 low (20 low)
- As of today · Source: osv@v1
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
A single Gradio + React WebUI with extensions for ACE-Step, OmniVoice, Kimi Audio, Piper TTS, GPT-SoVITS, CosyVoice, XTTSv2, DIA, Kokoro, OpenVoice, ParlerTTS, Stable Audio, MMS, StyleTTS2, MAGNet, AudioGen, MusicGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, and Bark!
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 11, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 11, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 11, 2026
- Languages
- typescript, python
Source: github.language+pyproject.toml · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
* (Optional) NodeJS 22.9.0 for React UISource link
Source: README excerpt (regex_v1, Jul 11, 2026)
* Python 3.10 or 3.11 (3.12 not supported yet)Source link
Tags
README
Manual installation
Prerequisites:
- git
- Python 3.10 or 3.11 (3.12 not supported yet)
- PyTorch
- ffmpeg (with vorbis support)
- (Optional) NodeJS 22.9.0 for React UI
- SQLite (bundled with Python) for database support
-
Clone the repository:
git clone https://github.com/rsxdalv/tts-webui.git cd tts-webui -
Install required packages:
pip install -r requirements.txt -
Run the server:
python server.py --no-react -
For React UI:
cd react-ui npm install npm run build cd .. python server.py
For detailed manual installation instructions, please refer to the Manual Installation Guide.
Docker Setup
tts-webui can also be ran inside of a Docker container. Using CUDA inside of docker requires NVIDIA Container Toolkit. To get started, pull the image from GitHub Container Registry:
docker pull ghcr.io/rsxdalv/tts-webui:main
Once the image has been pulled it can be started with Docker Compose: The ports are 7770 (env:TTS_PORT) for the Gradio backend and 3000 (env:UI_PORT) for the React front end.
docker compose up -d
The container will take some time to generate the first output while models are downloaded in the background. The status of this download can be verified by checking the container logs:
docker logs tts-webui
Building the image yourself
If you wish to build your own docker container, you can use the included Dockerfile:
docker build -t tts-webui .
Please note that the docker-compose needs to be edited to use the image you just built.