readmeai 0.0.62

🚀 Generate awesome README.md files from the terminal, powered by OpenAI's GPT language model APIs 💫

README-AI

◦ Generate beautiful and informative README.md documents.

◦ Developed with OpenAI's GPT language model APIs.

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📖 Table of Contents

• 📖 Table of Contents
• 📍 Overview
  • 🎯 Motivation
  • ⚠️ Disclaimer
• 👾 Demo
• ⚙️ Features
• 🚀 Getting Started
  • ✔️ Dependencies
    • 📂 Repository
    • 🔐 OpenAI API
  • 📦 Installation
  • 🎮 Using README-AI
  • 🧪 Running Tests
• 🛠 Future Development
• 📒 Changelog
• 🤝 Contributing
• 📄 License
• 👏 Acknowledgments

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📍 Overview

README-AI is a powerful, user-friendly command-line tool that generates extensive README markdown documents for your software and data projects. By providing a remote repository URL or directory path to your codebase, this tool will document your entire project, leveraging the capabilities of large language models and OpenAI's GPT APIs.

🎯 Motivation

Simplifies the process of writing and maintaining high-quality project documentation. My aim for this project is to provide all skill levels a tool that improves their technical workflow, in an efficient and user-friendly manner. Ultimately, the goal of README-AI is to improve the adoption and usability of open-source projects, enabling everyone to better understand and use open-source tools.

⚠️ Disclaimer

README-AI is currently under development and has an opinionated configuration and setup. While this tool provides an excellent starting point for documentation, its important to review all text generated by the OpenAI API to ensure it accurately represents your codebase. Ensure all content in your repository is free of sensitive information before executing.

Additionally, frequently monitor your API usage and costs by visiting the OpenAI API Usage Dashboard.

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👾 Demo

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⚙️ Features

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📑 Codebase Documentation

◦ Repository File Summaries Code summaries are generated for each file via OpenAI's gpt-3.5-turbo engine. The File column in the markdown table contains a link to the file on GitHub.

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🎖 Badges

◦ Introduction, Badges, & Table of Contents The OpenAI API is prompted to create a 1-sentence phrase describing your project. Project dependencies and metadata are visualized using Shields.io badges. Badges are sorted by hex code, displayed from light to dark hues.

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🧚 Prompted Text Generation

◦ Features Table & Overview Detailed prompts are embedded with repository metadata and passed to the OpenAI API. Features table highlights various technical attributes of your codebase. Overview section describes your project's use case and applications.

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🌲 Repository Tree

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📦 Dynamic User Setup Guides

◦ Installation, Usage, & Testing Generates instructions for installing, using, and testing your codebase. README-AI currently supports this feature for code written with: Python, Rust, Go, C, Kotlin, Java, JavaScript, TypeScript.

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👩‍💻Contributing Guidelines & more!

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💥 Example Files

Markdown example files generated by the README-AI app!

	Example File	Repository	Language	Bytes
1️⃣	readme-python.md	readme-ai	Python	19,839
2️⃣	readme-typescript.md	chatgpt-app-react-typescript	TypeScript, React	988
3️⃣	readme-javascript.md	assistant-chat-gpt-javascript	JavaScript, React	212
4️⃣	readme-kotlin.md	file.io-android-client	Kotlin, Java, Android	113,649
5️⃣	readme-rust-c.md	rust-c-app	C, Rust	72
6️⃣	readme-go.md	go-docker-app	Go	41
7️⃣	readme-java.md	java-minimal-todo	Java	17,725
8️⃣	readme-fastapi-redis.md	async-ml-inference	Python, FastAPI, Redis	355
9️⃣	readme-mlops.md	mlops-course	Python, Jupyter	8,524
🔟	readme-pyflink.md	flink-flow	PyFlink	32

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📜 Custom README templates coming soon!

Developing a feature that allows users to select from a variety of README formats and styles.

Custom templates will be tailored for use-cases such as data, ai & ml, research, minimal, and more!

🔝 Return

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🚀 Getting Started

✔️ Dependencies

Before you begin, ensure that you have the following prerequisites installed:

• Python 3.9 or higher
• Conda or Poetry package manager (recommended)
• Access to the OpenAI API (see the setup guide below)

📂 Repository

Most user's will run README-AI using the command-line, specifying their repository on run-time. However, if you would like to use the default configuration, you will need to update the configuration file with your repository's remote URL (GitHub, GitLab) or local directory path on your machine.

[git]
repository = "Insert your repository URL or local path here!"

🔐 OpenAI API

To use the README-AI application, you will need to create an account with OpenAI to generate an API key. The steps below outline this setup process:

OpenAI API User Guide

1. Go to the OpenAI website.
2. Click the "Sign up for free" button.
3. Fill out the registration form with your information and agree to the terms of service.
4. Once logged in, click on the "API" tab.
5. Follow the instructions to create a new API key.
6. Copy the API key and keep it in a secure place.

⚠️ Note

• To maximize your experience with README-AI, it is recommended to set up a payment method on OpenAI's website. By doing so, you gain access to more powerful language models like gpt-3.5-turbo. Without a payment method, your usage will be restricted to the base gpt-3 models. This limitation might lead to less precise README files or potential errors during the generation process.

• When using a payment method, make sure you have sufficient credits to run the README-AI application. Additionally, remember to regularly monitor your API usage and costs by visiting the OpenAI API Usage Dashboard. Please note that this API is not free and you will be charged for each request made, which can accumulate rapidly.

• The generation of the README.md file should typically complete in under 1 minute. If it takes longer than a few minutes, please terminate the process.

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📦 Installation

1. Clone the readme-ai repository to your local machine.

git clone https://github.com/eli64s/readme-ai

2. Navigate to the readme-ai directory.

cd readme-ai

3. Use one of the following methods to install the required dependencies:

Pip (PyPI Package)

pip install readmeai

Bash

bash setup/setup.sh

Conda

conda create -n readmeai python=3.9 -y && \
conda activate readmeai && \
pip install -r requirements.txt

Poetry

poetry install

Docker

docker pull zeroxeli/readme-ai:0.0.6

🎮 Using README-AI

Use the command-line to provide the OpenAI API key (if not already set) and specify an output path for your README file, along with the path to your local repository or remote code repository. You can also provide the output path in the configuration file

Command-Line Arguments:

• -k or --api-key: Your OpenAI API key.
• -o or --output: The output path for your README.md file.
• -r or --repository: The URL or path to your code repository.
• -t or --template: The README template format to use. (coming soon!)
• l or --language: The language of text written in the README file (coming soon!)

Pip (PyPI Package)

readmeai --api-key "YOUR_API_KEY" --output readme-ai.md --repository https://github.com/eli64s/readme-ai

# Or export your OpenAI API key as an environment variable
export OPENAI_API_KEY="YOUR_API_KEY"
readmeai -o readme-ai.md -r https://github.com/eli64s/readme-ai

Conda

python readmeai/main.py --api-key "YOUR_API_KEY" --output readme-ai.md --repository https://github.com/eli64s/readme-ai

# Or export your OpenAI API key as an environment variable
conda activate readmeai
export OPENAI_API_KEY="YOUR_API_KEY"
python readmeai/main.py -o readme-ai.md -r https://github.com/eli64s/readme-ai

Poetry

poetry shell
export OPENAI_API_KEY="YOUR_API_KEY"
poetry run python readmeai/main.py -o readme-ai.md -r https://github.com/eli64s/readme-ai

Docker

docker run -it \
-e OPENAI_API_KEY="YOUR_API_KEY" \
-v "$(pwd)":/app zeroxeli/readme-ai:0.0.6 \
readmeai -o readme-ai.md -r https://github.com/eli64s/readme-ai

🧪 Running Tests

To run the unit-tests for README-AI, use the following command.

bash scripts/test.sh

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🛠 Future Development

• Add additional language support for populating the installation, usage, and test README sections.
• Upload the readme-ai CLI tool to PyPI under the module name readmeai.
• Design and implement a variety of README template formats for different use-cases.
• Add support for writing the README in any language (i.e. CN, ES, FR, JA, KO, RU).
• Create UI with Textual or another framework to improve user experience.

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📒 Changelog

Changelog

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🤝 Contributing

Contributing Guidelines

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📄 License

MIT

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👏 Acknowledgments

Badges

• Shields.io
• Aveek-Saha/GitHub-Profile-Badges
• Ileriayo/Markdown-Badges

🔝 Return

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