app.py

import streamlit as st
import pandas as pd

# Title and App Description
st.title("SolarEase: Smart Solar System Designer")
st.markdown("""
Plan your solar system with ease! Input details for your appliances, and this app will recommend the necessary solar panels, batteries, and inverter capacity.
""")

# Sidebar for appliance input
st.sidebar.header("Add Appliance Details")
appliance_name = st.sidebar.text_input("Appliance Name", "LED Bulb")
wattage = st.sidebar.number_input("Wattage (Watts)", min_value=1, value=10, step=1)
quantity = st.sidebar.number_input("Quantity", min_value=1, value=1, step=1)
usage_hours = st.sidebar.number_input("Daily Usage Hours", min_value=1, value=1, step=1)
add_appliance = st.sidebar.button("Add Appliance")

# Store appliance data
if "appliances" not in st.session_state:
    st.session_state["appliances"] = []

if add_appliance:
    st.session_state["appliances"].append({
        "Appliance": appliance_name,
        "Wattage": wattage,
        "Quantity": quantity,
        "Usage Hours": usage_hours,
    })

# Display appliance table
if st.session_state["appliances"]:
    st.subheader("Appliance Details")
    appliance_df = pd.DataFrame(st.session_state["appliances"])
    st.table(appliance_df)

    # Perform backend calculations
    appliance_df["Daily Energy (Wh)"] = appliance_df["Wattage"] * appliance_df["Quantity"] * appliance_df["Usage Hours"]
    total_energy = appliance_df["Daily Energy (Wh)"].sum() / 1000  # Convert Wh to kWh

    sunlight_hours = st.slider("Average Sunlight Hours", min_value=4, max_value=10, value=6)
    panel_efficiency = st.slider("Solar Panel Efficiency (%)", min_value=15, max_value=25, value=20) / 100
    battery_voltage = 12  # Default battery voltage
    battery_efficiency = 0.85  # Default battery efficiency

    # Calculations
    total_panel_wattage = total_energy / (sunlight_hours * panel_efficiency)
    battery_capacity = total_energy / (battery_voltage * battery_efficiency)
    peak_load = appliance_df["Wattage"].sum()

    # Display results
    st.subheader("Solar System Recommendations")
    st.write(f"**Total Daily Energy Consumption:** {total_energy:.2f} kWh")
    st.write(f"**Required Solar Panel Capacity:** {total_panel_wattage:.2f} W")
    st.write(f"**Battery Capacity Needed:** {battery_capacity:.2f} Ah")
    st.write(f"**Recommended Inverter Size:** {peak_load:.2f} W")

# Footer
st.markdown("---")
st.markdown("**Designed by Engr. Muhammad Arsalan**")