usool-e-ghalib 0.1.0

A comprehensive NLP toolkit combining all major Python NLP libraries

NLP Suite 🚀

A comprehensive Python package that provides easy access to all major NLP libraries through optional extras. Install only what you need!

📦 Installation

Basic Installation (Essentials Only)

pip install nlp-suite

This installs only the core essentials: numpy, pandas, tqdm

Install with Extras

# Core NLP tools
pip install nlp-suite[core]

# Deep learning frameworks
pip install nlp-suite[deep-learning]

# Everything at once
pip install nlp-suite[all]

# Combine multiple extras
pip install nlp-suite[core,preprocessing,visualization]

🎯 Available Extras

Extra	Description	Key Packages
core	Essential NLP libraries	nltk, spacy, textblob, stanza, gensim
deep-learning	Modern AI/ML frameworks	transformers, sentence-transformers, torchtext
preprocessing	Text cleaning tools	regex, beautifulsoup4, ftfy, clean-text
vectorization	Text vectorization	scikit-learn, fasttext
topic-modeling	Topic analysis	bertopic, pyLDAvis
sentiment	Sentiment analysis	vaderSentiment
translation	Translation tools	deep-translator, translate
speech	Speech processing	SpeechRecognition, gTTS, pyttsx3
visualization	Data visualization	wordcloud, matplotlib, seaborn
serving	Model deployment	fastapi, flask, gradio, streamlit
evaluation	Model evaluation	seqeval, evaluate

🎁 Convenience Bundles

pip install nlp-suite[basic]        # core + preprocessing + sentiment
pip install nlp-suite[advanced]     # deep-learning + topic-modeling + evaluation
pip install nlp-suite[complete]     # most popular packages
pip install nlp-suite[all]          # everything!

🚀 Quick Start

import nlp_suite

# See what's available
nlp_suite.show_available_extras()

# Check what's installed
nlp_suite.check_installed()

# Get package info
info = nlp_suite.get_package_info()
print(f"NLP Suite v{info['version']} with {info['total_packages']} packages available")

💡 Usage Examples

Text Processing with Core Tools

# Install: pip install nlp-suite[core]
import nltk
import spacy
from textblob import TextBlob

# Use any of the installed libraries
blob = TextBlob("NLP Suite makes it easy!")
print(blob.sentiment)

Deep Learning NLP

# Install: pip install nlp-suite[deep-learning]
from transformers import pipeline

classifier = pipeline("sentiment-analysis")
result = classifier("I love NLP Suite!")
print(result)

Visualization

# Install: pip install nlp-suite[visualization]
from wordcloud import WordCloud
import matplotlib.pyplot as plt

text = "NLP Suite provides easy access to all major NLP libraries"
wordcloud = WordCloud().generate(text)
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis('off')
plt.show()

🛠️ Development

# Clone the repository
git clone https://github.com/sunilkumarpradhan/nlp-suite.git
cd nlp-suite

# Install with Poetry
poetry install

# Run tests
poetry run pytest

# Run tests with coverage
poetry run pytest --cov=nlp_suite

📋 Requirements

• Python 3.9+
• Individual package requirements vary by extra

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

This package is a convenience wrapper around amazing libraries created by:

• The NLTK team
• The spaCy team
• Hugging Face
• And many other open-source contributors

📞 Support

• 📧 Email: [e-mail]
• 🐛 Issues: GitHub Issues
• 📖 Documentation: [Coming Soon]

---

Made with ❤️ for the NLP community