repenseai 2.2.3

Repense package to support solutions with LLMs

RepenseAI

A Python-based artificial intelligence and machine learning toolkit for various AI tasks including audio processing, image generation, and language models.

Features

• 🎵 Audio processing capabilities
• 🖼️ Image generation and manipulation
• 🤖 Integration with various AI models
• 🔍 Search functionality
• 📊 Benchmarking tools
• ⚡ Streaming support

Project Structure

repenseai/
├── config/      # Configuration files
├── error/       # Error handling
├── genai/       # AI/ML core functionality
├── secrets/     # Secrets management
└── utils/       # Utility functions

Installation

1. Ensure you have Python installed (see .python-version for version)
2. Install Poetry (dependency management):

pip install poetry

3. Install dependencies:

poetry install

Development

This project uses several development tools:

• Poetry for dependency management
• pre-commit hooks for code quality
• pytest for testing
• flake8 for code linting

Setup Development Environment

# Install dependencies
poetry install

# Setup pre-commit hooks
pre-commit install

Running Tests

poetry run pytest

Examples

Check the notebooks/ directory for various usage examples:

• Audio processing
• Image generation
• Model benchmarking
• Search functionality
• Streaming implementations

Environment Variables

Configure your environment by creating a .env file based on the provided template.

License

[Add license information here]

Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request