environmental preparation
MassGen runs based on Python environment, it is recommended to use uv tools to manage the virtual environment. The system requires a stable network connection to call various AI model APIs, and it is recommended to configure a device with more than 16GB of RAM to ensure the efficiency of multi-intelligence body parallelism.
Installation steps
- Clone the codebase via Git:
git clone https://github.com/Leezekun/MassGen.git - Create and activate a virtual environment:
uv venvsource .venv/bin/activate(Linux/Mac) - Install the dependency packages:
uv pip install -e .
Key Configurations
The API key for at least one AI model needs to be configured in the massgen/backends/.env file:
- OPENAI_API_KEY: used to call GPT series models
- XAI_API_KEY: access to xAI's Grok service
- GEMINI_API_KEY: Connecting to Google Gemini Services
The system provides .env.example template file, users only need to copy and modify to quickly complete the configuration. After the installation is completed, you can run the sample command to verify whether the environment is normal.
This answer comes from the articleMassGen: A Multi-Intelligence Collaborative Task Processing SystemThe
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