Update README.md

README.md

@@ -9,9 +9,13 @@ It will allow them to get comfortable with the idea of
 - arrival generation
 - generating and using resources
 - branching paths
-- optimising systems 
+- optimising systems
 
-A visual representation of the event log has also been generated using Plotly, allowing users to follow individuals through a simulation and quickly see where queues are building up in the system.
+![image](https://github.com/hsma-programme/Teaching_DES_Concepts_Streamlit/assets/29951987/c55e132d-77b6-43f6-bc98-09434b87709b)
+
+An animated visual representation of the event log has also been generated using Plotly, allowing users to follow individuals through a simulation and quickly see where queues are building up in the system.
+
+![image](https://github.com/hsma-programme/Teaching_DES_Concepts_Streamlit/assets/29951987/70d1f39a-df82-4938-a69e-0b7cc0a1d1c1)
 
 # What is HSMA?
 
@@ -65,4 +69,4 @@ Animation functions are in
 This app has been designed for use in workshops, meaning that high concurrent load is expected. Due to the relatively high computational load and large datasets expected, this would be likely to quickly overwhelm the free tier available via Streamlit Community. 
 [Stlite](https://github.com/whitphx/stlite) is a port of Streamlit to WebAssembly, and uses [pyodide](https://pyodide.org/en/stable/), an implementation of python in the browser, meaning all computation is transferred over to the users computers without requiring them to install Python or any packages. To the end user, it will be indistinguishable from a normal web application - apart from the longer initial loading time. 
 
-It should be noted that the performance of the app is highly dependent on the device the user is running it on, and the default model run length and number of runs has been deliberately set quite low to allow for maximum compatability, though load times on less powerful devices will be significantly longer and it may struggle to store multiple simulation replications. 
+It should be noted that the performance of the app is highly dependent on the device the user is running it on, and the default model run length and number of runs has been deliberately set quite low to allow for maximum compatability, though load times on less powerful devices will be significantly longer and it may struggle to store multiple simulation replications.