🎤 orpheus-tts-docker - Effortless Text-to-Speech with Docker

🚀 Getting Started

Welcome to the Orpheus TTS Docker project! This guide will help you easily download and run our software to convert text into natural speech. Follow these simple steps to get started.

📥 Download & Install

To get the latest version of Orpheus TTS, visit this page to download: Releases Page.

You will find various versions available. Choose the one that suits your system.

System Requirements

• Operating System: Windows, macOS, or Linux
• Docker installed on your machine
• Minimum of 4 GB RAM (8 GB recommended for best performance)
• GPU: NVIDIA preferred for optimized performance

📦 What Is Orpheus TTS?

Orpheus TTS is a text-to-speech application that uses advanced deep learning techniques to generate high-quality speech from text input. This application is designed for ease of use, making it accessible for all users.

🎉 Features

• Production-Ready: Built for reliable deployment in various environments.
• GPU Management: Efficiently utilizes GPU resources for faster processing.
• Multi-Access Modes: Supports different ways to interact with the application.
• Optimized Performance: Delivers quick and accurate speech synthesis.

🖥️ How to Use

After downloading, follow these steps to run Orpheus TTS:

1. Open Docker: Ensure that Docker is running on your system.

2. Pull the Image: Open your terminal or command prompt and run the following command:

   docker pull shr1324/orpheus-tts-docker

3. Run the Container: Use this command to run the application:

   docker run -p 8080:8080 shr1324/orpheus-tts-docker

4. Access the Application: Open your web browser and go to http://localhost:8080. You should now see the Orpheus TTS interface.

5. Enter Text and Convert: Type or paste text into the provided box and click on the "Convert" button. Listen to the generated speech in a few moments.

🤖 Understanding How It Works

Orpheus TTS leverages NVIDIA's CUDA technology and PyTorch, a leading deep learning library, to provide advanced text-to-speech capabilities. The model has been trained on diverse datasets to ensure varied and natural sounding speech.

Technical Overview

• Framework Used: PyTorch
• Model Type: Deep learning based TTS model
• Deployment Strategy: Docker ensures your application runs smoothly in isolated environments.

📄 Documentation

For detailed information and advanced usage, check the official documentation. This includes in-depth setup instructions and configuration options.

🔧 Troubleshooting

If you encounter issues, please refer to the common problems listed below:

• Docker Not Running: Ensure Docker is installed and running.
• Port Issues: If the port 8080 is already in use, change the port in the run command.
• Audio Problems: Make sure that your device's audio settings are configured correctly.

🌐 Community and Support

Join our community to get help or share your experiences. Create an issue on GitHub or contribute to discussions. We welcome all feedback and suggestions.

Additional Resources

• Official Documentation: Read Here
• User Support: Open an Issue

🤝 Acknowledgments

We appreciate the contributors and the community for supporting this project. Your involvement helps drive improvement and innovation.

📜 License

This project is licensed under the MIT License. You can freely use, modify, and distribute this software.

Thank you for using Orpheus TTS! Happy converting!