Update app.py

app.py

@@ -1,59 +1,58 @@
 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.
+# App Title
+st.title("SolarEase: Solar System Planner")
+st.write("""
+This app calculates the total energy requirements and suggests a solar panel, battery, and inverter configuration.
 """)
 
-# Sidebar for appliance input
+# Input Section
 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")
+wattage = st.sidebar.number_input("Wattage (Watts)", min_value=1, value=10)
+quantity = st.sidebar.number_input("Quantity", min_value=1, value=1)
+usage_hours = st.sidebar.number_input("Daily Usage Hours", min_value=1, value=1)
+add_button = st.sidebar.button("Add Appliance")
 
-# Store appliance data
+# Session state for storing appliances
 if "appliances" not in st.session_state:
-    st.session_state["appliances"] = []
+    st.session_state.appliances = []
 
-if add_appliance:
-    st.session_state["appliances"].append({
+if add_button:
+    st.session_state.appliances.append({
         "Appliance": appliance_name,
         "Wattage": wattage,
         "Quantity": quantity,
-        "Usage Hours": usage_hours,
+        "Usage Hours": usage_hours
     })
 
 # Display appliance table
-if st.session_state["appliances"]:
+if st.session_state.appliances:
     st.subheader("Appliance Details")
-    appliance_df = pd.DataFrame(st.session_state["appliances"])
-    st.table(appliance_df)
+    appliances_df = pd.DataFrame(st.session_state.appliances)
+    st.table(appliances_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
+    # Calculate Total Energy Consumption
+    appliances_df["Daily Energy (Wh)"] = (
+        appliances_df["Wattage"] * appliances_df["Quantity"] * appliances_df["Usage Hours"]
+    )
+    total_energy_kwh = appliances_df["Daily Energy (Wh)"].sum() / 1000  # Convert to kWh
 
+    # Input for Solar System Configuration
+    st.subheader("Solar System Configuration")
     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()
+    total_panel_wattage = total_energy_kwh / (sunlight_hours * panel_efficiency)
+    battery_capacity = total_energy_kwh / 12  # Assume 12V system
 
-    # Display results
-    st.subheader("Solar System Recommendations")
-    st.write(f"**Total Daily Energy Consumption:** {total_energy:.2f} kWh")
+    # Display Results
+    st.write(f"**Total Energy Consumption:** {total_energy_kwh:.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**")
+st.markdown("**Developed by Engr. Muhammad Arsalan**")
+