app.py

import streamlit as st
# Import functions from your scripts here
# Example: from run_budget_scenario import run_budget_scenario

# Placeholder function definitions (replace these with actual imports and function calls)
def generate_books(input_data):
    # Your existing logic from generate_books.py
    return "Books Generated Successfully"

# Placeholder function definitions (replace these with actual imports and function calls)
def run_budget_scenario(input_data):
    # Your existing logic from run_budget_scenario.py
    return "Budget Scenario Result"

def run_coverage_scenario(input_data):
    # Your existing logic from run_coverage_scenario.py
    return "Coverage Scenario Result"

def run_optimization(input_data):
    # Your existing logic from run_optimization.py
    return "Optimization Result"

def run_program_checks(input_data):
    # Your existing logic from run_program_checks.py
    return "Program Checks Result"

# Streamlit app starts here
st.title('Carbon Optimization Tool')

# File uploader for the user to upload their data file
uploaded_file = st.file_uploader("Upload your data file", type=["xlsx"])

# Dropdown to select the scenario
scenario = st.selectbox("Choose a Scenario", ["Budget", "Coverage", "Optimization", "Program Checks"])

# Button to run the selected scenario
if st.button('Run Scenario') and uploaded_file is not None:
    if scenario == "Budget":
        result = run_budget_scenario(uploaded_file)
    elif scenario == "Coverage":
        result = run_coverage_scenario(uploaded_file)
    elif scenario == "Optimization":
        result = run_optimization(uploaded_file)
    else: # Program Checks
        result = run_program_checks(uploaded_file)

    # Display results
    st.write(result)
else:
    st.write("Please upload a data file and select a scenario to proceed.")

# To run the app, use `streamlit run app.py` from your command line