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# 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 https://github.com/yourusername/gujarati-ai-poetry.git
cd gujarati-ai-poetry
# 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..."
}
]
}
```
## 🚀 Training & Fine-Tuning
To train the model:
```bash
python train.py --model gpt-j --dataset cleaned_final_data.json
```
To fine-tune GPT-2 from scratch:
```bash
python train_gpt2.py --epochs 5 --batch_size 8
```
## 🔥 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.
## 📜 License
This project is licensed under the **MIT License**.
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🔗 *For more AI & Satsang insights, connect with me on LinkedIn!*
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license: mit
---
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