meomaya 0.1

🚀 Meomaya: Advanced NLP Framework with Hardware Acceleration and Multimodal Support

🚀 Meomaya

🔥 A modern, hardware-accelerated NLP framework designed for both research and production

MeoX is a powerful, pure-Python NLP framework that combines state-of-the-art language processing with hardware optimization. Built for researchers and developers who need both flexibility and performance.

✨ Key Features

• 🚄 Hardware-Aware Execution: Automatic optimization for CPU, CUDA, and MPS
• 🔧 Modular Architecture: Clean, extensible core with plug-and-play components
• 🎯 Multiple Modalities: Support for text, audio, image, and video processing
• 🤖 Local Transformers: Efficient offline processing with local model support
• 🌐 REST API Ready: Built-in FastAPI server for production deployment
• 📦 Easy Integration: Simple pip installation, minimal dependencies

🚀 Quick Install

pip install Meomaya

https://github.com/user-attachments/assets/df92d1db-3bd6-445e-a502-fb730513847d

🎯 Quick Start Guide

Basic Usage

from meomaya import Pipeline

# Create a pipeline for text processing
pipeline = Pipeline(mode="text")

# Process text with automatic hardware optimization
result = pipeline.process("Hello from MeoX! 👋")
print(result)

🌐 REST API Server

Launch the built-in API server for production use:

uvicorn meomaya.api.server:app --host 0.0.0.0 --port 8000

💻 Command Line Interface

Process text directly from the terminal:

python -m meomaya "Your text here" --mode text

🔒 Offline Mode

Enable strict offline mode for complete local processing:

export MEOMAYA_STRICT_OFFLINE=1

🛠 Advanced Features

• Hardware Optimization: Automatically detects and utilizes available hardware (CPU/CUDA/MPS)
• Multimodal Support: Process text, audio, images, and video through unified pipelines
• Local Models: Run transformer models completely offline
• Extensible Architecture: Easy to add custom processors and pipelines
• Production Ready: Built-in API server with FastAPI
• Memory Efficient: Smart resource management for large-scale processing

📚 Documentation

Visit our comprehensive documentation for:

• Detailed API reference
• Advanced usage examples
• Best practices and optimization tips
• Hardware configuration guides
• Custom pipeline development

📦 Installation Options

Basic Installation

pip install Meomaya

With All Optional Dependencies

pip install "Meomaya[full]"

Feature-specific Installation

# For ML features only
pip install "Meomaya[ml]"

# For Hugging Face integration
pip install "Meomaya[hf]"

# For API server
pip install "Meomaya[api]"

📜 License

This project is licensed under the Polyform Noncommercial License 1.0.0.

• ✅ Free for non-commercial use
• 🤝 Commercial licensing available
• 📧 Contact [e-mail] for commercial inquiries

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Made with ❤️ by Kashyapsinh Gohil