A tool to automatically generate README files for your projects.
Project description
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readmex
🚀 AI-Powered README Generator: Automatically creates beautiful READMEs and interactive wikis for any repository! Can run all in local with your own models.
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Table of Contents
📖 About The Project
AI-Powered README Generator is an AI-powered tool that automatically generates comprehensive Markdown README files for your projects. It crafts well-structured documentation that includes project details, technology stack, setup instructions, usage examples, badges, logos, and more.
Key Features
- 🤖 AI-Powered READMEs: Generate comprehensive Markdown READMEs instantly.
- 🔗 Auto Badges: Creates and embeds relevant status badges (contributors, forks, stars, etc.).
- 🖼️ Smart Logo Design: Crafts a unique project logo automatically.
- 🧠 Tech Stack Identification: Automatically detects and includes the project's technology stack.
- 🌐 Context-Aware Intelligence: Tailors content to your project's specific context and needs.
Built With
🚀 Getting Started
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple steps.
Prerequisites
- Python 3.7+
Installation
- Install the package using pip:
pip install readmex
Configuration
readmex requires API keys for both the Language Model (for generating text) and the Text-to-Image model (for generating logos). You can configure these in one of two ways. Environment variables take precedence.
1. Environment Variables (Recommended for CI/CD)
Set the following environment variables in your shell:
export LLM_API_KEY="your_llm_api_key" # Required
export T2I_API_KEY="your_t2i_api_key" # Required
# Optional: Specify custom API endpoints and models
export LLM_BASE_URL="https://api.example.com/v1"
export T2I_BASE_URL="https://api.example.com/v1"
export LLM_MODEL_NAME="your-llm-model"
export T2I_MODEL_NAME="your-t2i-model"
# Optional: Embedding model configuration for RAG (Retrieval-Augmented Generation)
export EMBEDDING_API_KEY="your_embedding_api_key" # Optional, for web embedding models
export EMBEDDING_BASE_URL="https://api.example.com/v1" # Optional, for web embedding models
export EMBEDDING_MODEL_NAME="text-embedding-3-small" # Optional, embedding model name
export LOCAL_EMBEDDING="true" # Optional, use local embedding model (default: true)
2. Global Config File (Recommended for Local Use)
For convenience, you can create a global configuration file. The tool will automatically look for it.
- Create the directory:
mkdir -p ~/.readmex - Create the config file:
~/.readmex/config.json - Add your credentials and any optional settings. You can also include personal information, which will be used as defaults during interactive prompts:
{
"LLM_API_KEY": "your_llm_api_key",
"T2I_API_KEY": "your_t2i_api_key",
"LLM_BASE_URL": "https://api.example.com/v1",
"T2I_BASE_URL": "https://api.example.com/v1",
"LLM_MODEL_NAME": "gpt-4",
"T2I_MODEL_NAME": "dall-e-3",
"EMBEDDING_API_KEY": "your_embedding_api_key",
"EMBEDDING_BASE_URL": "https://api.example.com/v1",
"EMBEDDING_MODEL_NAME": "text-embedding-3-small",
"LOCAL_EMBEDDING": "true",
"github_username": "your_github_username",
"twitter_handle": "your_twitter_handle",
"linkedin_username": "your_linkedin_username",
"email": "your_email@example.com"
}
💻 Usage
Once installed, you can use the readmex package in the command line. To generate your README, run the following:
Method 1: Using the installed command (Recommended)
readmex
Method 2: Running as a Python module
# Run the package directly
python -m readmex
# Or run the CLI module specifically
python -m readmex.utils.cli
Method 3: Development mode (for contributors)
# From the project root directory
python src/readmex/utils/cli.py
Command Line Options
All methods support the same command line arguments:
# Interactive mode (default)
readmex
# Generate for current directory
readmex .
# Generate for specific directory
readmex /path/to/your/project
# Generate MkDocs website
readmex --website
# Generate website and serve locally
readmex --website --serve
# Deploy to GitHub Pages
readmex --deploy
# Enable debug mode (skip LLM calls for testing)
readmex --debug
# Enable silent mode (auto-generate without prompts)
readmex --silent
# Enable verbose mode (show detailed information)
readmex --verbose
This will:
- generate a
project_structure.txtfile, which contains the project structure. - generate a
script_description.jsonfile, which contains the description of the scripts in the project. - generate a
requirements.txtfile, which contains the requirements of the project. - generate a
logo.pngfile, which contains the logo of the project. - generate a
README.mdfile, which contains the README of the project.
🗺️ Roadmap
- Prompt Engineering for Logo Generation
- Multi-language Support
- Enhanced AI Descriptions for Project Features
See the open issues for a full list of proposed features (and known issues).
🤝 Contributing
Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Top contributors:
🎗 License
Copyright © 2024-2025 readmex.
Released under the MIT license.
📧 Contact
Email: lintaothu@foxmail.com
Project Link: https://github.com/aibox22/readmex
QQ Group: 2161023585 (Welcome to join our QQ Group to discuss and get help!)
Scan QR code to join our QQ Group
⭐ Star History
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