autocommit-cli 0.1.2

A CLI tool for AI-powered Git commit messages using Google Gemini API.

🚀 AutoCommit-CLI: AI-Powered Git Commit Messages

AutoCommit-CLI is a powerful command-line tool that automates the process of writing meaningful Git commit messages using Google Gemini AI. No more struggling to come up with good commit messages—just let AI do it for you! 🎯

✨ Features

• 🔍 Analyze Git changes and generate meaningful commit messages.
• 🔄 Auto-commit staged changes with AI-generated messages.
• ☁️ Push changes to the repository automatically.
• ⚡ Works with Google Gemini API for intelligent commit suggestions.
• 🏗 Easy to use & install as a CLI tool.

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📦 Installation

1️⃣ Install via pip

pip install autocommit-cli

2️⃣ Set Up Google Gemini API Key

AutoCommit-CLI requires a Google Gemini API key. Get your key from Google AI Studio and store it in a .env file in your project:

GEMINI_API_KEY="your_api_key_here"

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🛠 Usage

1️⃣ Analyze Changes & Get a Suggested Commit Message

autocommit --analyze

📌 Example Output:

💡 Suggested Commit Message:
fix: resolved authentication issue in login flow

2️⃣ Commit with AI-Generated Message

autocommit --commit

📌 Example Output:

✅ Committed Successfully: fix: updated error handling in user registration

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⚙️ How It Works

1. The tool fetches staged Git changes using git diff --staged.
2. It sends these changes to the Google Gemini API to generate a relevant commit message.
3. It commits the changes with the generated message.
4. (Optional) It pushes the changes to the repository if --push is used.

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🔧 Development & Contribution

Want to improve AutoCommit-CLI? Follow these steps:

Clone the repository:

git clone https://github.com/Pranjal-88/Autocommit-CLI.git
cd Autocommit-CLI

Install dependencies:

pip install -r requirements.txt

Run locally for testing:

python autocommit.py --analyze

Contribute:

• Fork the repo ✅
• Create a new branch ✅
• Make your changes ✅
• Submit a pull request ✅

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📝 License

This project is licensed under the MIT License.

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❤️ Support

If you like this project, give it a ⭐ on GitHub! 🙌