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Repense package to support solutions with agents

Project description

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
  1. 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

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