app.py

import streamlit as st
import requests
from bs4 import BeautifulSoup
import datetime
import pytz

# Set the timezone to Indian Standard Time (IST)
indian_timezone = pytz.timezone('Asia/Kolkata')

def get_aqi_data():
    url = 'https://www.aqi.in/dashboard/india/jammu-and-kashmir/srinagar'
    r = requests.get(url)
    soup = BeautifulSoup(r.text, 'html.parser')
    meta_tag = soup.find('meta', {'name': 'description'})
    line = meta_tag['content']

    # Extract AQI value
    aqi_start = line.find("AQI) is") + len("AQI) is")
    aqi_end = line.find(" level")
    aqi = line[aqi_start:aqi_end].strip().split()[0]
    level = line[aqi_start:aqi_end].strip().split()[1]

    # Extract PM2.5 value
    pm25_start = line.find("PM2.5 (") + len("PM2.5 (")
    pm25_end = line.find(" µg/m³)", pm25_start)
    pm25 = line[pm25_start:pm25_end].strip()

    # Extract PM10 value
    pm10_start = line.find("PM10 (") + len("PM10 (")
    pm10_end = line.find(" µg/m³)", pm10_start)
    pm10 = line[pm10_start:pm10_end].strip()

    # Extract temperature value
    temp_start = line.find("temperature (") + len("temperature (")
    temp_end = line.find("˚C)", temp_start)
    temp = line[temp_start:temp_end].strip()

    return aqi, level, temp, pm25, pm10

def main():
    st.title('Futuristic AQI Dashboard')
    st.subheader('Real-time Air Quality Monitoring')

    aqi, level, temp, pm25, pm10 = get_aqi_data()

    st.markdown('### Current Data:')
    st.write(f"- **AQI:** {aqi} ({level})")
    st.write(f"- **PM2.5:** {pm25} µg/m³")
    st.write(f"- **PM10:** {pm10} µg/m³")
    st.write(f"- **Temperature:** {temp}˚C")

    st.markdown('### Display Data in Buttons:')
    if st.button('Show AQI'):
        st.write(f"**AQI:** {aqi} ({level})")
    if st.button('Show PM2.5'):
        st.write(f"**PM2.5:** {pm25} µg/m³")
    if st.button('Show PM10'):
        st.write(f"**PM10:** {pm10} µg/m³")
    if st.button('Show Temperature'):
        st.write(f"**Temperature:** {temp}˚C")

if __name__ == '__main__':
    main()