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A tool to automatically generate README files for your projects.

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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
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgments

📖 About The Project

Flow Chart

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.

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Built With

  • Python
  • OpenAI
  • Rich

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🚀 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

  1. 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.

  1. Create the directory: mkdir -p ~/.readmex
  2. Create the config file: ~/.readmex/config.json
  3. 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"
}

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💻 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:

  1. generate a project_structure.txt file, which contains the project structure.
  2. generate a script_description.json file, which contains the description of the scripts in the project.
  3. generate a requirements.txt file, which contains the requirements of the project.
  4. generate a logo.png file, which contains the logo of the project.
  5. generate a README.md file, which contains the README of the project.

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🗺️ 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).

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🤝 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!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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Top contributors:

contrib.rocks image

🎗 License

Copyright © 2024-2025 readmex.
Released under the MIT license.

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📧 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!)

QQ Group QR Code

Scan QR code to join our QQ Group

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⭐ Star History

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