This repository contains scripts and documentation to streamline the setup process for an AI server environment on Ubuntu. It provides a comprehensive guide to installing and configuring essential tools and frameworks, including pyenv for Python version management, Docker for containerization, and OpenUI for managing AI models with ease.
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Automated Setup: Easily set up your AI server environment with automated scripts for installing dependencies,
pyenv, Docker, and OpenUI. -
Flexible Python Version Management: Utilize
pyenvto manage multiple versions of Python, ensuring compatibility with various AI frameworks and libraries. -
Containerized Deployment: Leverage Docker for efficient and isolated deployment of AI models, simplifying deployment and scaling processes.
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User-Friendly Interface: Access and interact with AI models through OpenUI's intuitive web interface, facilitating model management and monitoring.
Scripts and documentation for setting up an AI server using pyenv, Docker, and OpenUI.
Ensure you have curl and git installed. You can install them using:
bash
sudo apt-get install -y curl git
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Clone the Repository: Clone the repository to your local machine.
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Installation: Follow the step-by-step instructions in the README.md file to install dependencies, set up
pyenv, install Python, configure Docker, and deploy OpenUI. -
Customization: Customize the setup according to your specific requirements by modifying the provided scripts and documentation.
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Verification: Verify the installation by checking Python and Docker versions, and ensure OpenUI is running as expected.
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Contribution: Contribute to the repository by suggesting improvements, reporting issues, or adding new features to enhance the AI server setup experience.
Save and close the file.
Add, commit, and push your changes to GitHub:
git add .
git commit -m "Initial commit with setup scripts and documentation"
git push origin main