https://github.com/justmalhar/elevenlabs-ui
A dockerized Streamlit UI for ElevenLabs' text-to-speech capabilities, supporting 28 languages through the Eleven Multilingual V2 model.
https://github.com/justmalhar/elevenlabs-ui
docker docker-compose elevenlabs python streamlit text-to-speech tts
Last synced: 2 months ago
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A dockerized Streamlit UI for ElevenLabs' text-to-speech capabilities, supporting 28 languages through the Eleven Multilingual V2 model.
- Host: GitHub
- URL: https://github.com/justmalhar/elevenlabs-ui
- Owner: Justmalhar
- License: mit
- Created: 2024-12-13T11:47:07.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-18T06:35:24.000Z (over 1 year ago)
- Last Synced: 2025-04-02T16:11:38.325Z (about 1 year ago)
- Topics: docker, docker-compose, elevenlabs, python, streamlit, text-to-speech, tts
- Language: Python
- Homepage:
- Size: 1.95 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# ElevenLabs TTS UI - Streamlit App
A Streamlit-based web application that for ElevenLabs' text-to-speech capabilities, supporting 28 languages through the Eleven Multilingual V2 model.
## Features
- Text-to-speech conversion using ElevenLabs API
- Multiple voice options (Based on your Voice Library)
- Support for 28 languages
- Audio playback
- Download generated audio files
- Docker support for easy deployment
## Supported Languages
English, Chinese, Spanish, Hindi, Portuguese, French, German, Japanese, Arabic, Korean, Indonesian, Italian, Dutch, Turkish, Polish, Swedish, Filipino, Malay, Romanian, Ukrainian, Greek, Czech, Danish, Finnish, Bulgarian, Croatian, Slovak, and Tamil.
## Prerequisites
- Docker and Docker Compose
- ElevenLabs API key
## Setup
1. Clone the repository:
```bash
git clone
cd elevenlabs-tts-demo
```
2. Create a `.env` file in the project root and add your ElevenLabs API key:
```bash
ELEVEN_API_KEY=your_api_key_here
```
3. Build and run the Docker container:
```bash
docker-compose build
docker-compose up
```
4. Open your browser and navigate to:
```
http://localhost:8501
```
## Local Development
If you prefer to run the application locally without Docker:
1. Install the required packages:
```bash
pip install -r requirements.txt
```
2. Run the Streamlit application:
```bash
streamlit run app.py
```
## Usage
1. Enter your text in the input field
2. Select a voice from the dropdown menu
3. Click "Generate Voice" to create the audio
4. Use the audio player to listen to the generated speech
5. Download the audio file using the "Download Audio" button
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- [ElevenLabs](https://elevenlabs.io) for providing the TTS API
- [Streamlit](https://streamlit.io) for the web application framework