README.md

Hume AI | Expressive TTS Arena

An interactive platform for comparing and evaluating the expressiveness of different text-to-speech models

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, it provides a seamless interface for generating and comparing speech synthesis from different providers, including Hume AI and ElevenLabs.

Features

• Text generation using Claude 3.5 Sonnet by Anthropic for creating expressive content.
• Direct text input or AI-assisted text generation.
• Comparative analysis of different TTS outputs.
• Simple voting mechanism for preferred outputs.

Prerequisites

• Python >=3.11.11
• pip >=25.0
• Virtual environment capability
• API keys for Hume AI, Anthropic, and ElevenLabs
• For a complete list of dependencies, see requirements.txt.

Project Structure

Expressive TTS Arena/
├── src/
│   ├── 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
│   ├── __init__.py             # Makes src a package; exposes key functionality
│   ├── app.py                  # Entry file
│   ├── config.py               # Global config and logger setup
│   ├── constants.py            # Global constants
│   ├── theme.py                # Custom Gradio Theme
│   └── utils.py                # Utility functions
├── .env.example
├── .gitignore
├── .pre-commit-config.yaml
└── requirements.txt

Installation

1. This project uses the uv package manager. Follow the installation instructions for your platform here.

2. Configure environment variables:

   • Create a .env file based on .env.example
   • Add your API keys:

   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

   uv run python -m src.app
   

   With hot-reloading

   uv run watchfiles "python -m src.app" 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:

   uv run pre-commit install
   

User Flow

1. Enter or Generate Text: Type directly in the Text box, or optionally enter a Character description, click "Generate text", and edit if needed.
2. Synthesize Speech: Click "Synthesize speech" to generate two audio outputs.
3. Listen & Compare: Playback both options (A & B) to hear the differences.
4. Vote for Your Favorite: Click "Vote for option A" or "Vote for option B" to choose your favorite.

License

This project is licensed under the MIT License - see the LICENSE.txt file for details.