revoice.ai

A simple web application that converts YouTube videos and audio files into synthesized speech using AI models.

Features

• Process YouTube videos by extracting and converting captions to speech
• Convert uploaded audio files through transcription and voice synthesis
• User-friendly web interface built with Gradio
• Multiple voice options for synthesis
• Automatic caption extraction from YouTube videos

Project Structure

project/
├── src/
│   ├── __init__.py    # Makes src a package
│   ├── utils/
│   │   ├── __init__.py  # Makes utils a package
│   │   ├── audio.py      # Audio processing functions
│   │   └── youtube.py    # YouTube caption extraction
│   ├── app.py           # Gradio interface
│   └── config.py        # Configuration settings
├── requirements.txt     # Dependencies
├── .env.example        # Example environment variables
└── README.md           # Documentation

Installation

1. Clone the repository:

git clone <repository-url>
cd <repository-name>

2. Install system dependencies (Linux):

apt-get install espeak-ng

3. Set up environment variables:

cp .env.example .env
# Edit .env and add your GROQ_API_KEY

4. Install Python dependencies:

pip install -r requirements.txt

Usage

1. Start the application:

python -m src.app

2. Open your web browser and navigate to the provided URL (usually http://127.0.0.1:7860)

3. Use the app by either:

   • Entering a YouTube URL
   • Uploading an audio file

4. Click "Process" and wait for the generated audio

Technologies Used

• Gradio: Web interface framework
• Kokoro: Text-to-speech synthesis
• Groq: Audio transcription using Whisper model
• PyTubeFix: YouTube video processing
• soundfile: Audio file handling
• pydub: Audio processing

Requirements

• Python 3.8+
• Groq API key
• espeak-ng (for Linux systems)
• Internet connection for YouTube processing

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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