This repository contains the code for deploying a machine learning model that predicts whether a customer will churn or not. The model is trained on a dataset provided by a European company specialized in energy and uses a Random Forest classifier algorithm.

The app is built using several tools and libraries, including:

• FastAPI: for building the web API
• Pydantic: for data validation and settings management
• Uvicorn: for running the app
• Loguru: for logging
• Typing: for type annotations
• Docker: for containerization
• Tox: for testing and automation
• Pytest: for testing
• flake8: for code linting
• black: for code formatting

To use the app, send a POST request to the /predict endpoint with a JSON payload containing the customer data. The app will return a prediction of whether the customer will churn or not.

To run the tests, install Tox and run tox in the root directory of the repository. This will run the tests using Pytest and check that everything is working correctly.