VideoChat
V
Videochat
Overview :
VideoChat is a real-time voice interaction digital human project that supports end-to-end voice solutions (GLM-4-Voice - THG) and cascading solutions (ASR-LLM-TTS-THG). Users can customize the appearance and voice of the digital human, with voice cloning capabilities that require no training, achieving initial package latency as low as 3 seconds. This project leverages the latest AI technologies, including Automatic Speech Recognition (ASR), Large Language Models (LLM), End-to-End Multimodal Large Language Models (MLLM), Text-to-Speech (TTS), and Talking Head Generation (THG), to provide users with a highly customizable and low-latency interaction experience.
Target Users :
The target audience includes developers and enterprise users, particularly those who need to integrate real-time voice interaction digital human features into their applications. VideoChat enables users to quickly deploy and utilize digital human technology to meet personalized interaction needs by offering end-to-end solutions and highly customizable options.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 58.2K
Use Cases
Online customer service, providing 24/7 customer consultation.
Virtual streamer for news broadcasting and entertainment programs.
In the education sector, serving as a virtual teacher for instructional assistance.
Features
Supports end-to-end voice solutions (GLM-4-Voice - THG) and cascading solutions (ASR-LLM-TTS-THG).
Customize digital human appearance and voice without requiring training.
Supports voice cloning capabilities.
Initial package latency as low as 3 seconds.
Online demo provides real-time experience.
Technical options include ASR, LLM, MLLM, TTS, and THG.
Provides local deployment guidelines and API-KEY configuration.
How to Use
1. Clone the project code locally: Use the 'git clone' command to clone the project repository.
2. Environment setup: Configure your Ubuntu system, Python version, and CUDA version according to project requirements.
3. Install dependencies: Use 'pip install' to install the dependencies listed in 'requirements.txt'.
4. Download weight files: Follow the guidelines to download the necessary weight files.
5. Configure API-KEY: If you need to use API services, configure the API-KEY as per the instructions.
6. Start the service: Run 'python app.py' to launch the service.
7. Use custom digital humans: Follow the guidelines to add custom digital human avatars and voices.
8. Test and optimize: After starting the service, conduct tests and optimize as needed.
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