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 This repository demonstrates how to integrate [GitHub Actions](https://docs.github.com/en/actions) to (upon a new commit):
 
+- Automatically authenticate `wandb` (Weights and Biases) using a custom GitHub secret. 
 - Automatically train a small Random Forest Regressor model on the [wine quality dataset](https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009).
-- Automatically log the training and other important model metrics to Weights and Biases (`wandb`). 
+- Automatically log the training and other important model metrics to `wandb`. 
 - Cache Python dependencies so that old dependencies do not get installed each time a run is triggered. 
 - Generate a `metrics.csv` file after a run is successfully completed. 
 
 ![](https://i.ibb.co/JqZWHDC/image.png)
 
+The heart of this repository is [this YAML](https://github.com/sayakpaul/wine/blob/wandb-integration/.github/workflows/cml.yaml) file that defines a workflow that runs automatically after a new commit is pushed. 
+
 ## Acknowledgements
 
 [This video](https://www.youtube.com/watch?v=9BgIDqAzfuA) by DVCorg helped me a lot to clear the initial concepts regarding GitHub Actions.