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SIR_model / sir_app.py

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import streamlit as st
from SIR_model import main as run_sir_model

# Streamlit app title
st.title('SIR Model Simulation')

# Introduction
st.write('This application simulates and visualizes the SIR model for infectious disease spread.')

# Buttons to control the simulation
if st.button('Run SIR Model'):
    # Call the modified run_sir_model function with "run" mode
    figures = run_sir_model(mode="run")
    for fig in figures:
        st.pyplot(fig)
    st.success('Model executed successfully.')

if st.button('Generate Graph'):
    # Call the modified run_sir_model function with "graph" mode
    image_path=run_sir_model(mode="graph")
    st.image(image_path,caption="SIR Model Graph")
    st.success('Graph generated successfully.')

# Instructions or description can be added here
st.write('The SIR model divides the population into three categories: Susceptible (S), Infected (I), and Recovered (R). The model simulates how an infectious disease spreads and is managed within a population over time.')

	import streamlit as st
	from SIR_model import main as run_sir_model

	# Streamlit app title
	st.title('SIR Model Simulation')

	# Introduction
	st.write('This application simulates and visualizes the SIR model for infectious disease spread.')

	# Buttons to control the simulation
	if st.button('Run SIR Model'):
	# Call the modified run_sir_model function with "run" mode
	figures = run_sir_model(mode="run")
	for fig in figures:
	st.pyplot(fig)
	st.success('Model executed successfully.')

	if st.button('Generate Graph'):
	# Call the modified run_sir_model function with "graph" mode
	image_path=run_sir_model(mode="graph")
	st.image(image_path,caption="SIR Model Graph")
	st.success('Graph generated successfully.')

	# Instructions or description can be added here
	st.write('The SIR model divides the population into three categories: Susceptible (S), Infected (I), and Recovered (R). The model simulates how an infectious disease spreads and is managed within a population over time.')