Home.py

import streamlit as st

st.title("LLM-Generated Simulation Apps")
st.markdown(
    """
**Discrete-event simulation (DES) model web applications generated using Large
Language Models (LLMs).**"""
)

st.divider()
st.markdown(
    """
This application is complementary to:

> Thomas Monks, Alison Harper, and Amy Heather. **Research Compendium:
Replicating Simulations in Python using Generative AI**.
https://github.com/pythonhealthdatascience/llm_simpy.

It deploys the streamlit applications generated using Perplexity as a single
app via stlite and GitHub pages.

Use the sidebar to navigate to each app.
"""
)

st.divider()
st.info("""
The apps use `st.spinner()` to show a spinning icon when the model is running,
but this does not work with `stlite`. Hence, it may appear like nothing is
happening, when the model is actually running behind the scenes (once you
click "simulate"). This is mainly relevant to the stroke model which takes a
little longer to run, but you can speed it up by reducing the number of
replications.
""", icon="ℹ️")

st.divider()
st.markdown(
    """
Source code: https://github.com/pythonhealthdatascience/llm_simpy_models."""
)