Updated Readme

README.md

@@ -1,5 +1,25 @@
 # Algorithmic Quartet Image Generation
 
-Machine Learning Operations project!
+Building a Pokemon Image Generator with MLOps best practices!
 
 ![Flow Chart of the pipeline](flow_chart.png)
+
+## Training Pipeline
+
+The training is done with PyTorch and HuggingFace on Lightning.ai Studios.
+The data for it is stored on a GCP Cloud Bucket and downloaded to the GPU device for training.
+
+## Frontend
+
+The frontend is a streamlit UI that renders the generated images.  
+It is continously deployed with GCP Cloud Build and is live on a GCP Cloud Run instance.
+
+## Backend
+
+The image generation service uses FastAPI to serve the latest trained model and runs on a GCP Cloud Run instance.
+
+## Automated training & Continous Delivery
+
+Autmated Training is described best in this video: https://vimeo.com/948396185
+
+The Frontend and Backend are both built and deployed automatically when a Git Tag is added to a certain commit with either a `frontend/VERSION` or `backend/VERSION`.