Update README.md

Author: aslisabanci

README.md

@@ -8,16 +8,18 @@ This action would be a good fit for your workflow if you are using a Jupyter not
 
 ## How does it work?
 
-The Github Action will get deploy your model file to a data collection at Algorithmia and create a new build for your inference endpoint to use the new model, whenever you do a Git push to your master branch (or any other triggering event you configure).
+Whenever you do a Git push to your master branch (or any other triggering event you configure), your workflow integrating this Github Action will kick off.
 
 ![](images/overview.png)
 
-Depending on your model development preference:
-
-If you're developing your ML model on a Jupyter notebook, you can configure the workflow with the notebook path to execute. In this case, the workflow will run the notebook on the CI worker machine's from-scratch environment. 
-If you have an already saved model checked-in to your repository, you can configure the workflow with the existing model file path.
-
-In both scenarios, the workflow will get the model file and upload it to the configured data collection on Algorithmia. 
+- If you're developing your ML model in a Jupyter notebook, you can configure the workflow with the notebook path to execute. In this case, the Github Action will:
+  - Install the required packages in your requirements.txt file on a Github worker machine
+  - Run your configured Jupyter notebook file on the worker machine's from-scratch environment
+If not and if you have an already saved model checked-in to your repository, you can configure the workflow with the existing model file path.
+In both scenarios, the Github Action will then:
+- Take the ML model file from the configured path and upload it to your data collection at Algorithmia
+- Copy your inference (algorithm) script to your algorithm repository
+- Update/create a model_manifest.json file, connecting your inference (algorithm) code at Algorithmia with this newly uploaded model file
 
 ![](images/flowchart.png)