Setup

1. Clone the repository to local machine using git clone
2. Setup virtual environment inside folder python -m venv .
3. Activate virtual environment .\Scripts\activate
4. Run pip install -r requirements.txt to setup project
5. Rename config-template.json to config.json with actual values set in placeholder
6. Install spacy libraries by running python -m spacy download en_core_web_sm

Execution

1. Execute python .\src\main.py to train the model with mlflow
2. To view the results, run mlflow ui --backend-store-uri sqlite:///mlflow.db
3. To run airflow docker compose up