diff --git a/README.md b/README.md
index d4caef6..0c8cac8 100644
--- a/README.md
+++ b/README.md
@@ -20,5 +20,15 @@ Phi-3 generation with Go code:
 Granite 3b generation with Go code:
 `curl -X POST -H "Content-Type: application/x-www-form-urlencoded" -d"query=Write me an example of Go programming code." http://169.231.231.109:5000/query/granite`
 
+#How to run this on your own
+
+- Start by setting up an env within the directory of your choice. 
+`python -m venv env`
+`source env/bin//activate`
+- You will need to (pip) install torch, transformers, accelerator, and flask in order to properly run the application
+`pip freeze > requirements.txt` will help setup a requirements text file as shown in the repo
+- If you haven't as yet, also make sure to fork Phi-3: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct#sample-inference-code$0 and IBM Granite 3b: https://huggingface.co/ibm-granite/granite-3b-code-instruct#generation$0 from huggingface and change the `@app.route` in the testing.py file to match the locations where you host those models.
+
+
 
 Overall the Phi-3 model can be better used as a way to generate text and the Granite model might be better at developing code and generating software solutions
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