gita-py 0.1.2

A Python package providing Bhagavad Gita summaries and verses.

📖 gita

gita is a lightweight Python package providing access to summaries and verses from the Bhagavad Gita. It allows you to retrieve summaries, verses, chapter titles, and validate content programmatically.

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🌟 Features

• 📚 Get summary of a chapter
• 🔍 Fetch a specific verse
• 📖 Get all verses in a chapter
• ✅ Validate chapters and verses
• 🏷️ Retrieve chapter titles

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📦 Installation

Clone this repository and install locally using:

git clone https://github.com/avarshvir/gita.git
cd gita

🧠 Usage

1. Import the functions

from gita.utils import (
    get_summary,
    get_verse,
    get_all_verses,
    list_available_summaries,
    is_valid_chapter,
    is_valid_verse,
    get_chapter_title
)

2. Get Chapter Summary

print(get_summary(1))

3. Get a Specific Verse

print(get_verse(1, 1))

4. Get All Verses from a Chapter

verses = get_all_verses(1)
for verse_number, verse_text in verses.items():
    print(f"{verse_number}: {verse_text}")

5. List Available Summaries

print(list_available_summaries())
# Output: [1, 2, 3, 4]

6. Validate Chapter or Verse

print(is_valid_chapter(1))  # True
print(is_valid_verse(1, 1))  # True or False

7. Get Chapter Title

print(get_chapter_title(1))
# Output: Arjuna Vishada Yoga - The Yoga of Arjuna's Dejection

🧪 Running Tests

To run the unit tests, from the project root:

python -m unittest discover tests

💡 Applications in ML/AI

The gita package can also serve as a semantic, philosophical, or ethical dataset for NLP and AI applications, including:
- 🧘‍♂️ **Spiritual NLP:** Use summaries/verses for language modeling, text classification, or chatbot responses in spiritual/ethical domains.

- 📊 **Topic Modeling:** Apply unsupervised learning (like LDA) to explore themes across chapters and verses.

- 🤖 **Conversational AI:** Integrate with chatbots or voice assistants to answer questions from the Gita.

- 🧠 **Fine-Tuning LLMs:** Fine-tune transformer models on Bhagavad Gita content for custom applications like question answering, summarization, or translation.

- 🧘 **Emotion Detection:** Train sentiment analysis models on Gita texts for understanding philosophical tone and emotion.

- 📚 **Text Embeddings:** Generate vector embeddings for each verse/summary to use in semantic search or recommender systems.

With a structured dataset and utilities, gita can be a powerful component in building ethically aware and spiritually aligned AI systems.

📁 Project Structure

gita/
│
├── gita/
│   ├── __init__.py
│   ├── utils.py
│   ├── data.py
│   └── constant.py
│
├── tests/
│   └── test_gita.py
│
├── setup.py
├── README.md
├── pyproject.toml
└── MANIFEST.in

📜 License

This project is licensed under the MIT License.

🙏 Acknowledgements

• Inspired by the sacred Bhagavad Gita
• Developed with ❤️ by Arshvir

🚀 Future Plans

• Add all 18 chapter summaries
• Include all verses from all chapters
• Add audio and image support
• Build a Streamlit/Flask interface
• Extend NLP/ML capabilities for philosophical Q&A