TTSFM

Disclaimer: This project is for learning and testing purposes only. For production use, please use the official OpenAI TTS service at https://platform.openai.com/docs/guides/audio

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TTSFM is a reverse-engineered API server that mirrors OpenAI's TTS service, providing a compatible interface for text-to-speech conversion with multiple voice options.

Prerequisites

• Python 3.8 or higher
• pip (Python package manager)
• OR Docker

Installation

Option 1: Using Docker (Recommended)

docker pull dbcccc/ttsfm:latest
docker run -p 7000:7000 dbcccc/ttsfm:latest

Option 2: Manual Installation

1. Clone the repository:

git clone https://github.com/yourusername/ttsfm.git
cd ttsfm

2. Install dependencies:

pip install -r requirements.txt

Usage

Option 1: Using Docker

1. The server will start automatically after running the docker command
2. Access the web interface at http://localhost:7000

Option 2: Manual Usage

1. Start the server:

python server.py

2. Access the web interface at http://localhost:7000

3. Use the API endpoint

API Endpoints

Please refer to the deployed webpage for detailed information.

• POST /v1/audio/speech: Convert text to speech
• GET /v1/voices: List available voices

Pressure Testing

The project includes a pressure test script to evaluate server performance under load. To use it:

# Basic test (10 requests, 2 concurrent connections)
python pressure_test.py

# Test with more requests and higher concurrency
python pressure_test.py -n 50 -c 10

# Test with different text lengths
python pressure_test.py -t short  # Short text
python pressure_test.py -t medium # Medium text (default)
python pressure_test.py -t long   # Long text

# Save generated audio files
python pressure_test.py -s

# Custom server URL
python pressure_test.py -u http://localhost:7000

Options:

• -n, --num-requests: Total number of requests to send (default: 10)
• -c, --concurrency: Number of concurrent connections (default: 2)
• -t, --text-length: Length of text to use (short/medium/long)
• -s, --save-audio: Save generated audio files to test_output directory
• -u, --url: Custom server URL (default: http://localhost:7000)

License

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

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