Update app.py

app.py

@@ -6,6 +6,13 @@ from dotenv import load_dotenv
 import plotly.graph_objects as go
 
 
+import streamlit as st
+import pandas as pd
+import google.generativeai as genai
+import os
+from dotenv import load_dotenv
+import plotly.graph_objects as go
+
 # Load environment variables
 load_dotenv()
 
@@ -32,19 +39,15 @@ with st.form("solar_form"):
     state_options = df['State'].dropna().unique()
     location = st.selectbox("Select your State", options=sorted(state_options))
     
-    project_type = st.radio(
+    st.radio(
         "Select Solar Project Type",
-        options=["Rooftop Solar", "Ground Mount Solar"]
+        options=["Rooftop Solar"],
+        index=0,
+        disabled=True
     )
 
-    if project_type == "Rooftop Solar":
-        roof_size = st.number_input("Enter your roof size (in sq meters)", min_value=1)
-        electricity_bill = st.number_input("Enter your monthly electricity bill (₹)", min_value=0)
-        desired_kwh = None
-    else:
-        desired_kwh = st.number_input("Enter desired monthly solar electricity production (kWh)", min_value=1)
-        electricity_bill = st.number_input("Enter your monthly electricity bill (₹)", min_value=0)
-        roof_size = None
+    roof_size = st.number_input("Enter your roof size (in sq meters)", min_value=1)
+    electricity_bill = st.number_input("Enter your monthly electricity bill (₹)", min_value=0)
 
     submitted = st.form_submit_button("Get Estimate")
 
@@ -56,12 +59,8 @@ if submitted and location:
         ghi = state_data['Avg_GHI (kWh/m²/day)']
         solar_cost_per_kw = state_data['Solar_Cost_per_kW (₹)']
 
-        if project_type == "Rooftop Solar":
-            system_size_kw = round(roof_size * ROOFTOP_CONVERSION_FACTOR, 2)
-            estimated_daily_output = round(system_size_kw * ghi, 2)
-        else:
-            system_size_kw = round(desired_kwh / (30 * ghi), 2)
-            estimated_daily_output = round(system_size_kw * ghi, 2)
+        system_size_kw = round(roof_size * ROOFTOP_CONVERSION_FACTOR, 2)
+        estimated_daily_output = round(system_size_kw * ghi, 2)
 
         total_system_cost = round(system_size_kw * solar_cost_per_kw, 2)
         monthly_savings = round(estimated_daily_output * 30 * TARIFF_RATE, 2)