Version 0.1.0

Release Notes - Baiboly FastAPI Application v0.1.0

New Features:

• Python & Docker Support: The Baiboly FastAPI application can now be run both as a standard Python application and as a Docker container.

  • Python: You can run the application in a virtual environment using Python. Simply follow the instructions to clone the repository, set up a virtual environment, install dependencies, and start the server.

  • Docker: The application is also dockerized, allowing you to easily run it as a container. You can build and run the application using Docker, ensuring it works consistently across environments.

How to Run:

• Running with Python:
  Follow the standard steps to clone the repository, set up a Python virtual environment, install dependencies, and run the application using python main.py.

• Running with Docker:

  1. Build the Docker image:

     docker build -t baiboly-fastapi .

  2. Run the Docker container:

     docker run -p 8000:8000 baiboly-fastapi

Both methods are supported, and you can choose whichever is more convenient for your setup.