Updated some of the text

Home.py

@@ -4,9 +4,9 @@ from src.st_helpers import st_setup
 if st_setup("LLM Architectures"):
     st.write("""
     # LLM Architecture Assessment
-    This project is an interactive version of the LLM Architecture Assessment project prepared by [Alisdair Fraser](http://www.linkedin.com/alisdairfraser) (alisdairfraser (at) gmail (dot) com), in submission for the final research project for the [Online MSc in Artificial Intelligence](https://info.online.bath.ac.uk/msai/) with the University of Bath.
+    This application is an interactive element of the LLM Architecture Assessment project prepared by [Alisdair Fraser](http://www.linkedin.com/alisdairfraser) (alisdairfraser (at) gmail (dot) com), in submission for the final research project for the [Online MSc in Artificial Intelligence](https://info.online.bath.ac.uk/msai/) with the University of Bath.  This application allows users to browse a synthetic set of "pruvate data" and to interact with systems built to represent different architectural prototypes.
     
-    The goal of the project is to do an assessment of the architectural patterns for deploying LLMs in conjunction with private data stores. The target audience is IT management, with a goal of providing key considerations for why one might choose a particular architecture or another.
+    The goal of the project is to make an assessment of the architectural patterns for deploying LLMs in conjunction with private data stores. The target audience is IT management, with a goal of providing key considerations for why one might choose a particular architecture or another.
     
     All the source code for this application and the associated tooling and data can be found the [project GitHub repo on Hugging Face](https://huggingface.co/spaces/alfraser/llm-arch/tree/main).
     
@@ -19,4 +19,5 @@ if st_setup("LLM Architectures"):
     
     ## Credits
     - This project predominantly uses [LLama 2](https://ai.meta.com/llama/) and derivative models for language inference. Models are made available under the [Meta Llama license](https://ai.meta.com/llama/license/).
+    - This project is built on [streamlit](https://streamlit.io).
     """)