omnigenai-toolkit 1.0.1

A Python package for Generative AI applications

OmniGenAI Toolkit

OmniGenAI Toolkit is a lightweight, rule-based AI chatbot written entirely in Python. It requires no external model downloads, making it perfect for educational use, rapid prototyping, or extending into more advanced AI tools.

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🔧 Features

• ✅ Regex-based pattern matching chatbot
• ✅ Customizable responses
• ✅ Fallback logic with keyword detection
• ✅ 100% Python Standard Library — no downloads or external dependencies
• ✅ Unit tested and modular structure

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📦 Installation

Clone and install the package locally:

git clone https://github.com/gopalakrishnanarjun/omnigenai_toolkit.git
cd omnigenai-toolkit
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install .

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🚀 Usage

To run the example chatbot:

python examples/run_chat.py

💬 Example Session

You: hello
Bot: Hi there!

You: what is your name
Bot: I'm SmartAI, your simple Python chatbot.

You: what time is it?
Bot: The current time is 14:32:08.

You: bye
Bot: Goodbye! 👋

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🗂 Project Structure

omnigenai-toolkit/
├── docs/                   # Documentation (optional)
├── examples/               # Example usage scripts
│   └── run_chat.py
├── omnigenai_toolkit/      # Main module code
│   └── chatbot.py
├── tests/                  # Unit tests
│   └── test_chatbot.py
├── .gitignore
├── LICENSE
├── README.md
└── setup.py

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🧠 How It Works

• Uses re to match user input against predefined patterns.
• Returns randomized responses for variety.
• If no match is found, falls back to simple keyword checks like "time" or "weather".

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🌱 Future Enhancements

🔹 Short-Term

• Store patterns and responses in external JSON/YAML
• Add chatbot personality profiles (e.g., sarcastic, friendly)

🔹 Medium-Term

• Add memory/context support for ongoing conversations
• Create web interface using Flask or FastAPI

🔹 Long-Term

• Integrate voice input/output
• Use cloud APIs (optional) for GPT-style responses
• Add multilingual support and translation layer

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🤝 Contributing

1. Fork the repo
2. Create a new feature branch
3. Push your changes and open a Pull Request

All contributions are welcome — from typo fixes to new features!

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📄 License

This project is licensed under the MIT License — free to use, modify, and distribute.

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✨ Author

Built with ❤️ by Gopalakrishnan Arjunan (https://github.com/gopalakrishnanarjun)

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🙌 Acknowledgments

Inspired by early rule-based AI bots like ELIZA and built for offline-friendly simplicity.