xiaozhi-esp32-server is designed with a multi-layered deployment scheme that supports both Docker containerization and Conda environment management, taking into account ease of use and flexibility. Official deployment guides are available for users with different technical backgrounds.
Specific programs include:
- Docker Rapid Deployment: for newbies, one-click startup with pre-built images
- Docker source code running: support for customized modifications, preserving the full development environment
- Conda Virtual Environment: Provides fine-grained control for easy debugging and performance optimization
- Hybrid deployment model: core services and models can be deployed separately
System requirements, the recommended configuration for the 4-core CPU + 8GB of memory, if you only use the API method of speech recognition, the hardware requirements can be reduced to 2-core + 2GB. deployment document details the resource consumption of each program, dependencies and common problem solutions.
This answer comes from the articlexiaozhi-esp32-server: Xiaozhi AI chatbot open source back-end servicesThe
May not be reproduced without permission:AI productivity tools " The project provides two mainstream deployment solutions, Docker and Conda, to meet the needs of different users.
