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(): # Logo logo = 'LOGO.png' st.image(logo, width=200) st.title('Real Time SXR 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") # Credentials st.markdown('### Developer:') st.text('Adil Aziz') st.text('Data Scientist') st.text('adilaziz2013@gmail.com') if __name__ == '__main__': main()