Qwen-TTS: A Versatile Text-to-Speech Service

Overview

Welcome to the Qwen-TTS repository. This project offers a powerful text-to-speech service built on the Qwen-TTS API. It supports both Chinese and English, along with various Chinese dialects. This FastAPI application aims to provide a seamless experience for users needing voice synthesis capabilities.

📸 Interface Preview

Single Synthesis Interface

Batch Processing Interface

✨ Features

🎯 Core Features

• Multi-Voice Support: Choose from 7 different voices, including options for both Chinese and English.
• Dialect Support: Includes Beijing, Shanghai, and Sichuan dialects.
• Real-Time Synthesis: Experience fast and responsive voice synthesis.
• Batch Processing: Upload and process txt/md files in bulk.
• Smart Segmentation: Automatically split text by paragraphs, sentences, or chapters.
• Progress Tracking: Monitor batch processing progress in real time.
• Audio Playback: Play and download audio directly from the interface.
• Audio Format: Outputs in WAV format for clear sound quality.

🎨 Interface Features

• Modern Design: A visually appealing and responsive user interface.
• Consistent Layout: Unified width (1200px) for both single synthesis and batch processing pages.
• Intuitive Operation: User-friendly experience for all users.
• History Tracking: Automatically saves synthesis history for easy access.
• Real-Time Feedback: Character count and status updates displayed live.

🔧 Technical Features

• Asynchronous Processing: High-performance asynchronous API for quick responses.
• Error Handling: Comprehensive error management to ensure smooth operation.
• File Management: Automatic management of audio files for convenience.
• API Documentation: Complete OpenAPI documentation available for developers.

🎤 Supported Voices

🚀 Quick Start

To get started with Qwen-TTS, follow these steps:

1. Download the Latest Release: Visit the Releases section to download the latest version of the application.
2. Installation: Follow the installation instructions provided in the release notes.
3. Run the Application: Execute the application to start using the text-to-speech features.

For detailed instructions, refer to the documentation provided in the repository.

📦 Installation

Requirements

• Python 3.8 or higher
• FastAPI
• Uvicorn
• Additional dependencies as listed in requirements.txt

Installation Steps

1. Clone the repository:

   git clone https://github.com/mco2004/qwen-tts.git
   cd qwen-tts
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Run the application:

   uvicorn main:app --reload
   

Configuration

You may need to configure certain parameters in a configuration file or environment variables. Check the repository for more details.

🌐 API Endpoints

The Qwen-TTS API provides several endpoints for text-to-speech operations. Below are the main endpoints available:

1. Single Synthesis

• Endpoint: /synthesize
• Method: POST
• Description: Synthesize speech from a single text input.

2. Batch Processing

• Endpoint: /batch
• Method: POST
• Description: Upload a file containing multiple texts for batch synthesis.

3. Voice List

• Endpoint: /voices
• Method: GET
• Description: Retrieve a list of available voices and their details.

Refer to the API documentation for more information on request and response formats.

🔍 Usage Examples

Single Synthesis Example

To synthesize speech from a single text input, send a POST request to the /synthesize endpoint with the following JSON body:

{
  "text": "你好，欢迎使用 Qwen-TTS！",
  "voice": "Cherry"
}

Batch Processing Example

To process multiple texts, upload a file to the /batch endpoint. The file should contain one text per line.

📄 Documentation

Comprehensive API documentation is available in the repository. This includes detailed descriptions of each endpoint, request/response formats, and examples.

🔗 Links

• For the latest releases, visit the Releases section.
• Check the Wiki for more in-depth tutorials and guides.

🛠️ Contribution

We welcome contributions to improve Qwen-TTS. If you would like to contribute, please fork the repository and submit a pull request. Ensure that you follow the coding standards and include tests for new features.

📬 Contact

For questions or feedback, please open an issue in the repository. You can also reach out via email or other contact methods listed in the repository.

🎉 Acknowledgments

Thank you to all contributors and users who support the development of Qwen-TTS. Your feedback helps us improve the application and provide better services.

Explore the capabilities of Qwen-TTS and enhance your projects with advanced text-to-speech functionalities.