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import streamlit as st
import pandas as pd
import google.generativeai as genai
import os
from io import StringIO
import csv
# Set page configuration first
st.set_page_config(page_title="AI-based Solar Project Estimation Tool", layout="centered")
# Initialize Gemini
genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
model = genai.GenerativeModel("gemini-1.5-flash")
# Load solar data
@st.cache_data
def load_data():
df = pd.read_csv('https://huggingface.co/spaces/MLDeveloper/AI_based_Solar_Project_Estimation_Tool/resolve/main/solar_data_india_2024.csv')
return df
df = load_data()
# UI - Form for user input
st.title("AI-based Solar Project Estimation Tool")
st.write("### Enter Your Details Below:")
with st.form("solar_form"):
state_options = df['State'].dropna().unique()
location = st.selectbox("Select your State", options=sorted(state_options))
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")
# Build the prompt for Gemini
def build_prompt(location, roof_size, electricity_bill, ghi, solar_cost_per_kw):
prompt = f"""
Estimate the solar system for the location '{location}' based on the following details:
- Roof size: {roof_size} sq meters
- Monthly electricity bill: ₹{electricity_bill}
- Average GHI (solar radiation) for {location}: {ghi} kWh/m²/day
- Solar system cost per kW in {location}: ₹{solar_cost_per_kw}
Provide:
1. Estimated solar system size in kW
2. Estimated daily solar output in kWh
3. Total system cost in ₹
4. Monthly savings in ₹
5. Payback period in years
"""
return prompt
# Generate the solar project estimate via Gemini
if submitted and location and roof_size > 0 and electricity_bill >= 0:
state_data = df[df['State'].str.contains(location, case=False)].iloc[0]
if state_data is not None:
ghi = state_data['Avg_GHI (kWh/m²/day)']
solar_cost_per_kw = state_data['Solar_Cost_per_kW (₹)']
prompt_text = build_prompt(location, roof_size, electricity_bill, ghi, solar_cost_per_kw)
# Call Gemini API once for all the batch generation
if prompt_text:
with st.spinner("Generating solar estimate with Gemini..."):
response = model.generate_content(prompt_text)
st.subheader("Solar Project Estimate")
st.text_area("Generated Estimate", response.text, height=200)
else:
st.warning("Please check the inputs again.")
else:
st.error("Sorry, the location entered does not match any available data.")
else:
st.warning("Please fill out all fields to see your solar project estimate.") |