Update README.md

README.md

@@ -1,8 +1,16 @@
 # Glass API
 
+[![Docker Image CI](https://github.com/stesiam/GlassIdentificationAPI/actions/workflows/docker-image.yml/badge.svg)](https://github.com/stesiam/GlassIdentificationAPI/actions/workflows/docker-image.yml)
+
 This repo develops a [plumber](https://www.rplumber.io/) API  (an analogous tool to FastAPI of Python for API Development) that classifies glass based on its type (window / non-window), using ML model (Random Forest).
-My model is built using [tidymodels](https://www.tidymodels.org/) and [rangerR](https://github.com/imbs-hl/ranger) packages. The model build is **outside** the scope of docker. After the construction of my model, I exported it in an .RDS format which is used by API.
+My model is built using [tidymodels](https://www.tidymodels.org/) and [ranger](https://github.com/imbs-hl/ranger) packages. The model build is **outside** the scope of docker. After the construction of my model, I exported it in an .RDS format which is used by API.
+
+You can get the image by running the following command in your terminal:
+
+```bash
+docker pull stesiam/glass-api
+```
 
-**DockerHub Repo:** [glass-api](https://hub.docker.com/r/stesiam/glass-api)
+📦 **DockerHub Repo:** [glass-api](https://hub.docker.com/r/stesiam/glass-api)
 
-**Data Source:**  [UCI Machine Learning Repository](http://archive.ics.uci.edu/dataset/42/glass+identification)
+💾 **Data Source:**  [UCI Machine Learning Repository](http://archive.ics.uci.edu/dataset/42/glass+identification)