This repo is meant as a template for projects using FastAPI and Streamlit for ML projects. A model is trained with the Bank Notes dataset in order to predict whether a Bank Note is fake or not.

You can create the environment to test out the project by simply running the following commands in the root directory:

1. make conda-update to add exact Python and CUDA versions.

2. conda activate fastapi-streamlit-ml to create conda environment.

3. make poetry to install all Python dependencies.

4. Create a .env file in the root directory with the following environment variables:

    DB_USER
    DB_PASSWORD
    DB_HOST
    DB_PORT
    DB_NAME
   

5. make run-db to create our PostgreSQL database with Docker