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Create app.py
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app.py
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import streamlit as st
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import pandas as pd
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import tariff_scraper
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# UI Components
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def main():
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st.sidebar.title("Electricity Tariff App")
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st.sidebar.header("Navigation")
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# Button to Fetch Tariff Data
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if st.sidebar.button("Fetch Tariff Data"):
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url = "https://iesco.com.pk/index.php/customer-services/tariff-guide"
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try:
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tariff_data = tariff_scraper.fetch_tariff_data(url)
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tariff_scraper.save_tariff_data(tariff_data, "tariff_data.xlsx")
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st.success("Tariff data fetched and saved successfully!")
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except Exception as e:
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st.error(f"Error: {e}")
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# Dropdown for Load Type
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tariff_data_file = "tariff_data.xlsx"
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if st.sidebar.button("Load Tariff Data"):
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try:
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tariffs = pd.ExcelFile(tariff_data_file)
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sections = tariffs.sheet_names
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selected_section = st.sidebar.selectbox("Select Tariff Section", sections)
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df = tariffs.parse(selected_section)
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st.write(f"### {selected_section}")
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st.dataframe(df)
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except Exception as e:
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st.error(f"Error: {e}")
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st.header("Electricity Bill Calculator")
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appliances = []
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# Appliance Input Section
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col1, col2, col3 = st.columns(3)
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with col1:
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appliance_name = st.text_input("Appliance Name")
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with col2:
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appliance_count = st.number_input("Number of Appliances", min_value=1, step=1)
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with col3:
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usage_hours = st.number_input("Usage Hours per Day", min_value=0.0, step=0.5)
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if st.button("Add Appliance"):
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appliances.append((appliance_name, appliance_count, usage_hours))
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st.write(f"Added {appliance_name}: {appliance_count} appliances used {usage_hours} hours/day.")
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# Calculate Bill
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if st.button("Calculate Bill"):
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if not appliances:
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st.error("Please add appliances before calculating.")
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else:
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total_units = sum(appliance_count * usage_hours * 30 for _, appliance_count, usage_hours in appliances)
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st.write(f"Total Units Consumed: {total_units} kWh")
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if __name__ == "__main__":
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main()
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