app.py

import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
import requests
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

# Get the Gemini API key from the environment
GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")

# Gemini API URL
GEMINI_API_URL = "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent"

# Load the solar data CSV file
df = pd.read_csv('https://huggingface.co/spaces/MLDeveloper/AI_based_Solar_Project_Estimation_Tool/resolve/main/solar_data_india_2024.csv')

# Streamlit UI
st.set_page_config(page_title="AI-based Solar Project Estimation Tool", layout="centered")
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")

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 = 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
        """

        # Define the headers for the API request
        headers = {
            "Authorization": f"Bearer {GEMINI_API_KEY}",
            "Content-Type": "application/json"
        }

        # Define the request payload
        payload = {
            "model": "gemini-1.5-flash",
            "messages": [{"role": "system", "content": "You are a helpful assistant."},
                         {"role": "user", "content": prompt_text}],
            "temperature": 0.7
        }

        # Make the API request
        response = requests.post(GEMINI_API_URL, json=payload, headers=headers)

        # Check the response from the API
        if response.status_code == 200:
            result = response.json()
            generated_content = result['choices'][0]['message']['content']
            
            # Display the generated content (solar estimates)
            st.subheader("Solar Project Estimate")
            st.write(generated_content)
        else:
            st.error(f"Error: {response.status_code} - {response.text}")
        
    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.")