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| <div align="center"> | |
| <img src="https://storage.googleapis.com/hume-public-logos/hume/hume-banner.png"> | |
| <h1>Expressive TTS Arena</h1> | |
| <p> | |
| <strong> An web application for comparing and evaluating the expressiveness of different text-to-speech models </strong> | |
| </p> | |
| </div> | |
| ## Overview | |
| Expressive TTS Arena is an open-source web application that enables users to compare text-to-speech outputs with a focus on expressiveness rather than just audio quality. Built with [Gradio](https://www.gradio.app/), it provides a seamless interface for generating and comparing speech synthesis from different providers, including Hume AI and ElevenLabs. | |
| ## Prerequisites | |
| - [Python >=3.11.11](https://www.python.org/downloads/) | |
| - [pip >=25.0](https://pypi.org/project/pip/) | |
| - [uv >=0.5.29](https://github.com/astral-sh/uv) | |
| - [Postgres](https://www.postgresql.org/download/) | |
| - API keys for Hume AI, Anthropic, and ElevenLabs | |
| ## Project Structure | |
| ``` | |
| Expressive TTS Arena/ | |
| ├── src/ | |
| │ ├── assets/ | |
| │ │ ├── styles.css # Defines custom css | |
| │ ├── database/ | |
| │ │ ├── __init__.py # Makes database a package; expose ORM methods | |
| │ │ ├── crud.py # Defines operations for interacting with database | |
| │ │ ├── database.py # Sets up SQLAlchemy database connection | |
| │ │ └── models.py # SQLAlchemy database models | |
| │ ├── integrations/ | |
| │ │ ├── __init__.py # Makes integrations a package; exposes API clients | |
| │ │ ├── anthropic_api.py # Anthropic API integration | |
| │ │ ├── elevenlabs_api.py # ElevenLabs API integration | |
| │ │ └── hume_api.py # Hume API integration | |
| │ ├── scripts/ | |
| │ │ ├── __init__.py # Makes scripts a package | |
| │ │ ├── init_db.py # Script for initializing database | |
| │ │ ├── test_db.py # Script for testing database connection | |
| │ ├── __init__.py # Makes src a package | |
| │ ├── app.py # Entry file | |
| │ ├── config.py # Global config and logger setup | |
| │ ├── constants.py # Global constants | |
| │ ├── custom_types.py # Global custom types | |
| │ └── utils.py # Utility functions | |
| │── static/ | |
| │ ├── audio/ # Directory for storing generated audio files | |
| ├── .dockerignore | |
| ├── .env.example | |
| ├── .gitignore | |
| ├── .pre-commit-config.yaml | |
| ├── Dockerfile | |
| ├── LICENSE.txt | |
| ├── pyproject.toml | |
| ├── README.md | |
| ├── uv.lock | |
| ``` | |
| ## Installation | |
| 1. This project uses the [uv](https://docs.astral.sh/uv/) package manager. Follow the installation instructions for your platform [here](https://docs.astral.sh/uv/getting-started/installation/). | |
| 2. Configure environment variables: | |
| - Create a `.env` file based on `.env.example` | |
| - Add your API keys: | |
| ```txt | |
| HUME_API_KEY=YOUR_HUME_API_KEY | |
| ANTHROPIC_API_KEY=YOUR_ANTHROPIC_API_KEY | |
| ELEVENLABS_API_KEY=YOUR_ELEVENLABS_API_KEY | |
| ``` | |
| 3. Run the application: | |
| Standard | |
| ```sh | |
| uv run python -m src.main | |
| ``` | |
| With hot-reloading | |
| ```sh | |
| uv run watchfiles "python -m src.main" src | |
| ``` | |
| 4. Test the application by navigating to the the localhost URL in your browser (e.g. `localhost:7860` or `http://127.0.0.1:7860`) | |
| 5. (Optional) If contributing, install pre-commit hook for automatic file formatting: | |
| ```sh | |
| uv run pre-commit install | |
| ``` | |
| ## User Flow | |
| 1. **Choose or enter a character description**: Select a sample from the list or enter your own to guide text and voice generation. | |
| 2. **Generate text**: Click **"Generate Text"** to create dialogue based on the character. The generated text will appear in the input field automatically—edit it if needed. | |
| 3. **Synthesize speech**: Click **"Synthesize Speech"** to send your text and character description to two TTS APIs. Each API generates a voice and synthesizes speech in that voice. | |
| 4. **Listen & compare**: Play both audio options and assess their expressiveness. | |
| 5. **Vote for the best**: Click **"Select Option A"** or **"Select Option B"** to choose the most expressive output. | |
| ## License | |
| This project is licensed under the MIT License - see the [LICENSE.txt](LICENSE.txt) file for details. | |