Open-LLM-VTuber

Engage in rapid hands-free voice interaction with any large language model.

CommonProductProgrammingVTuberVoice Interaction

Open-LLM-VTuber is an open-source project designed for interaction with large language models (LLMs) via voice, featuring real-time Live2D facial capture and cross-platform long-term memory capabilities. This project supports macOS, Windows, and Linux platforms, allowing users to select different speech recognition and speech synthesis backends, as well as customized long-term memory solutions. It is particularly suited for developers and enthusiasts looking to implement natural language conversations with AI across various platforms.

Supports voice interaction with any large language model backend compatible with the OpenAI API.
Customizable selection of speech recognition and text-to-speech providers.
Integrates MemGPT for long-term memory functionality
providing a continuous chat experience.
Supports Live2D models that automatically control facial expressions based on LLM responses.
Utilizes GPU acceleration on macOS to significantly reduce latency.
Supports multiple languages including Chinese.
Allows complete offline operation
ensuring user privacy.

\The target audience includes developers
tech enthusiasts
and AI researchers who can utilize Open-LLM-VTuber to create their own virtual characters
conduct research in natural language processing and machine learning
or develop applications for AI interaction.\

Developers use Open-LLM-VTuber to create a virtual assistant capable of multi-language conversations.
Educational institutions leverage the project to teach students the fundamentals of natural language processing.
Tech enthusiasts use Open-LLM-VTuber to develop personalized AI chatbots.

Install required dependencies such as FFmpeg and Python virtual environment.
Clone the Open-LLM-VTuber code repository to your local machine.
Configure the conf.yaml file in the project as needed
selecting the desired speech recognition and speech synthesis backends.
Run server.py to start the WebSocket communication server.

Visit

Open-LLM-VTuber Visit Over Time

Monthly Visits

499904316

Bounce Rate

37.31%

Page per Visit

5.8

Visit Duration

00:06:52

Open-LLM-VTuber Visit Trend

Open-LLM-VTuber Visit Geography

Open-LLM-VTuber Traffic Sources

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