# T5SummaryPratik
A powerful text summarization library using T5 transformer model with built-in evaluation metrics.
## Installation
```bash
pip install T5SummaryPratik
```
## Features
- Text summarization using T5 transformer model
- Multiple evaluation metrics:
- ROUGE scores
- Readability metrics
- Text statistics
- Easy to use API
- Customizable parameters
## Quick Start
```python
from T5SummaryPratik import T5Summarizer
# Initialize the summarizer
summarizer = T5Summarizer()
# Example text
text = """
Your long text here that needs to be summarized.
This can be multiple paragraphs long.
"""
# Generate summary
summary = summarizer.summarize(text)
print(summary)
# Get summary with evaluation metrics
summary_with_metrics = summarizer.summarize_with_metrics(text)
print(f"Summary: {summary_with_metrics['summary']}")
print(f"ROUGE scores: {summary_with_metrics['metrics']['rouge']}")
print(f"Readability score: {summary_with_metrics['metrics']['readability']}")
```
## Advanced Usage
See [example_usage.py](example_usage.py) for more advanced usage examples.
## Requirements
- Python >= 3.8
- PyTorch
- Transformers
- NLTK
- Evaluate
- Textstat
## License
MIT License
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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