

Bailing
Overview :
Bailing is an open-source voice dialogue assistant designed for natural conversations with users through voice interactions. This project combines technologies such as Automatic Speech Recognition (ASR), Voice Activity Detection (VAD), Large Language Models (LLM), and Text-to-Speech (TTS) to provide a high-quality voice dialogue experience. Its main advantage is its ability to deliver GPT-4o-like dialogue performance without the need for a GPU, making it suitable for various edge devices and low-resource environments. Bailing is fully open-source, encouraging community contributions and secondary development, allowing users to customize and optimize according to their needs.
Target Users :
This product is suitable for users who require an efficient voice interaction experience. Whether for everyday conversations, information inquiries, or task management, Bailing provides convenient voice support. It is especially ideal for users who have low hardware requirements but demand high-quality voice interaction.
Use Cases
Users can instruct Bailing to check the weather by saying 'What's the weather like in Hangzhou?', and Bailing will return the weather information for Hangzhou.
Users can use Bailing for IELTS speaking practice, where Bailing generates IELTS practice questions and dialogues to assist users in their practice.
Users can set timed tasks by saying 'Remind me to drink water at 8 AM every morning', and Bailing will alert the user at the specified time.
Features
Efficient Open Source Model: Bailing employs multiple open-source models to ensure an efficient and reliable voice dialogue experience.
No GPU Required: Through optimization, it can be deployed locally while still providing performance akin to GPT-4.
Modular Design: ASR, VAD, LLM, and TTS modules are independent and can be replaced and upgraded according to needs.
Support for Memory Features: It has continuous learning capabilities, able to remember user preferences and historical dialogues to provide a personalized interaction experience.
Support for Tool Invocation: Flexible integration of external tools allows users to request information or execute actions directly through voice commands, enhancing the assistant's utility.
Support for Task Management: Efficiently manage user tasks, able to track progress, set reminders, and provide dynamic updates to ensure users don't miss any important matters.
How to Use
1. Clone the project repository: git clone https://github.com/wwbin2017/bailing.git, and then navigate to the project directory with cd bailing.
2. Install the required dependencies: pip install -r requirements.txt.
3. Configure environment variables: Open config/config.yaml to set up the ASR, LLM, and other related configurations, download SenseVoiceSmall to the directory models/SenseVoiceSmall, and obtain the deepseek api_key.
4. Start the backend service: cd server and run python server.py (optional).
5. Start the main program: Run python main.py and the system will wait for voice input, allowing users to begin interactions with Bailing.
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