shivampadmani/nishkulanandAI

End-to-End chat app for generating low resource language from english prompts based on work of Nishkulanand swami # Gujarati AI Poetry Generator ## 🌟 Introduction This project explores the intersection of **Artificial Intelligence** and **Satsang literature** by generating **Gujarati poetry** inspired by the works of great poets like **Nishkulanand Swami**. Using AI models, this tool transforms English prompts into **meaningful, poetic Gujarati verses**. ## ✨ Features - **Gujarati BPE Tokenizer**: Custom-built tokenizer for efficient text generation. - **Fine-tuned GPT Model**: Leveraging GPT-J/GPT-2 for Gujarati poetry generation. - **Dataset**: Based on structured English-Gujarati poetry pairs. - **Use Cases in Satsang**: AI-driven tools for **kirtan composition, scripture analysis, and poetic expressions**. ## 🛠️ Installation ```bash # Clone the repository git clone github.com cd NishkulanandAI # Install dependencies pip install -r requirements.txt ``` ## 📜 Dataset Structure The training dataset follows this format: ```json { "gujarati": [ { "title_gu": "પ્રકરણ ૧: મંગળાચરણ", "title_trans": "Prakaran 1: Mangaḷācharaṇ", "target": "મંગલમૂર્તિ મહાપ્રભુ, શ્રીસહજાનંદ સુખરૂપ...", "source": "The divine Lord is the embodiment of joy and beauty..." } ] } ``` ## 🔥 Inference Example ```python from model import generate_poetry prompt = "The divine Lord is the embodiment of joy and beauty." response = generate_poetry(prompt) print(response) ``` ## 🎯 Future Enhancements - Improving **rhyme and meter** matching. - Expanding dataset with **more scriptures & kirtans**. - Deploying a **web-based interface** for real-time poetry generation. ## 🌟 Contribute Feel free to open issues and pull requests! Your contributions can help refine AI-driven Gujarati poetry generation. ## 💬 Contact For any queries or collaboration, message me on LinkedIn: linkedin.com ## 📜 License This project is licensed under the **MIT License**. --- 🔗 *For more AI & Satsang insights,Follow me on GitHub and connect with me on LinkedIn!*