Nebula Realtime Autopilot

Description

Nebula Realtime Autopilot, developed by Symbl.ai, is a Python library designed for enhancing real-time applications with advanced automation and processing capabilities. It integrates seamlessly with various APIs and services, providing a robust solution for real-time data handling, processing, and decision-making in a variety of applications including chatbots, virtual assistants, and more.

Installation

To install Nebula Realtime Autopilot, run:

pip install nebula_realtime_autopilot

Usage

Here's a basic example to demonstrate how to use Nebula Realtime Autopilot:

from nebula_realtime_autopilot.hello import say_hello

# Example usage
say_hello()

Replace the above example with more complex and practical use cases pertinent to your library.

Requirements

• Python 3.6 or higher
• [List any additional dependencies here, if applicable]

Development Setup

1. Clone the repository:

   git clone https://github.com/rammerai/nebula_realtime_autopilot.git
   

2. Install dependencies:

   pip install -r requirements.txt
   

   For development dependencies:

   pip install -r dev-requirements.txt
   

Testing

Run the tests using the provided build script:

python build.py test

Ensure that all tests pass before pushing code changes.

Building and Releasing

To build the package for distribution:

python build.py build

To release a new version to PyPI:

python release.py

Make sure to update the version information in setup.py before releasing a new version.

Contributing

Contributions are welcome! If you would like to contribute, please:

1. Fork the repository.
2. Create a new branch for your feature.
3. Add your changes and write tests for them.
4. Push the branch and open a pull request.

For major changes, please open an issue first to discuss what you would like to change.

License

Nebula Realtime Autopilot is released under the MIT License. See the LICENSE file for more details.

Acknowledgments

• Thanks to the Symbl.ai team for guidance and support.
• Community contributors who have helped with valuable suggestions and feedback.

For more information, visit our GitHub Repository.