import streamlit as st from serpapi import GoogleSearch # SerpAPI API Key API_KEY = "8369b2ad95bdb8602cb3f5da80c056e646691599ea0f5aeb01ea47cf18f28270" # Function to fetch news articles using SerpAPI def fetch_news_serpapi(): st.info("Fetching latest news on waste management using SerpAPI...") search = GoogleSearch({ "q": "waste management India", "tbm": "nws", "api_key": API_KEY }) results = search.get_dict() if "news_results" in results: news = [{"title": item["title"], "link": item["link"]} for item in results["news_results"][:5]] return news else: return [] # Function to fetch hackathons and webinars using SerpAPI def fetch_hackathons_serpapi(): st.info("Fetching hackathons and webinars related to waste management using SerpAPI...") search = GoogleSearch({ "q": "waste management hackathon OR webinar", "tbm": "nws", "api_key": API_KEY }) results = search.get_dict() if "news_results" in results: hackathons = [{"title": item["title"], "link": item["link"]} for item in results["news_results"][:5]] return hackathons else: return [] # Function to fetch government initiatives using SerpAPI def fetch_government_initiatives_serpapi(): st.info("Fetching Indian government initiatives on waste management using SerpAPI...") search = GoogleSearch({ "q": "Indian government waste management initiatives", "tbm": "nws", "api_key": API_KEY }) results = search.get_dict() if "news_results" in results: initiatives = [{"title": item["title"], "link": item["link"]} for item in results["news_results"][:5]] return initiatives else: return [] # Streamlit app layout def main(): st.set_page_config(page_title="BinSight", layout="wide") st.title("🌍 BinSight - Waste Management & Education") st.markdown( """ Welcome to **BinSight**! This platform provides real-time updates on: - 📰 Current news on waste management. - 💡 Hackathons and webinars related to waste management. - 📛 Indian government initiatives. """ ) # Tabs for better UI tab1, tab2, tab3 = st.tabs(["📰 News", "💡 Hackathons/Webinars", "📛 Govt Initiatives"]) # Tab 1: News with tab1: news = fetch_news_serpapi() if news: for item in news: st.markdown(f"[{item['title']}]({item['link']})") else: st.warning("No news articles found.") # Tab 2: Hackathons/Webinars with tab2: hackathons = fetch_hackathons_serpapi() if hackathons: for event in hackathons: st.markdown(f"[{event['title']}]({event['link']})") else: st.warning("No hackathons or webinars found.") # Tab 3: Govt Initiatives with tab3: initiatives = fetch_government_initiatives_serpapi() if initiatives: for initiative in initiatives: st.markdown(f"[{initiative['title']}]({initiative['link']})") else: st.warning("No government initiatives found.") # Footer st.sidebar.title("About BinSight") st.sidebar.info( """ BinSight is an initiative to educate people about waste management and to connect them with events, news, and government programs to make our planet sustainable. """ ) # Back button to redirect to dashboard st.markdown("
", unsafe_allow_html=True) st.markdown("", unsafe_allow_html=True) if __name__ == "__main__": main() # Best version without backbutton # import streamlit as st # from serpapi import GoogleSearch # # SerpAPI API Key # API_KEY = "8369b2ad95bdb8602cb3f5da80c056e646691599ea0f5aeb01ea47cf18f28270" # # Function to fetch news articles using SerpAPI # def fetch_news_serpapi(): # st.info("Fetching latest news on waste management using SerpAPI...") # search = GoogleSearch({ # "q": "waste management India", # "tbm": "nws", # "api_key": API_KEY # }) # results = search.get_dict() # if "news_results" in results: # news = [{"title": item["title"], "link": item["link"]} for item in results["news_results"][:5]] # return news # else: # return [] # # Function to fetch hackathons and webinars using SerpAPI # def fetch_hackathons_serpapi(): # st.info("Fetching hackathons and webinars related to waste management using SerpAPI...") # search = GoogleSearch({ # "q": "waste management hackathon OR webinar", # "tbm": "nws", # "api_key": API_KEY # }) # results = search.get_dict() # if "news_results" in results: # hackathons = [{"title": item["title"], "link": item["link"]} for item in results["news_results"][:5]] # return hackathons # else: # return [] # # Function to fetch government initiatives using SerpAPI # def fetch_government_initiatives_serpapi(): # st.info("Fetching Indian government initiatives on waste management using SerpAPI...") # search = GoogleSearch({ # "q": "Indian government waste management initiatives", # "tbm": "nws", # "api_key": API_KEY # }) # results = search.get_dict() # if "news_results" in results: # initiatives = [{"title": item["title"], "link": item["link"]} for item in results["news_results"][:5]] # return initiatives # else: # return [] # # Streamlit app layout # def main(): # st.set_page_config(page_title="BinSight", layout="wide") # st.title("🌍 BinSight - Waste Management & Education") # st.markdown( # """ # Welcome to **BinSight**! This platform provides real-time updates on: # - 📰 Current news on waste management. # - 💡 Hackathons and webinars related to waste management. # - 📜 Indian government initiatives. # """ # ) # # Tabs for better UI # tab1, tab2, tab3 = st.tabs(["📰 News", "💡 Hackathons/Webinars", "📜 Govt Initiatives"]) # # Tab 1: News # with tab1: # news = fetch_news_serpapi() # if news: # for item in news: # st.markdown(f"[{item['title']}]({item['link']})") # else: # st.warning("No news articles found.") # # Tab 2: Hackathons/Webinars # with tab2: # hackathons = fetch_hackathons_serpapi() # if hackathons: # for event in hackathons: # st.markdown(f"[{event['title']}]({event['link']})") # else: # st.warning("No hackathons or webinars found.") # # Tab 3: Govt Initiatives # with tab3: # initiatives = fetch_government_initiatives_serpapi() # if initiatives: # for initiative in initiatives: # st.markdown(f"[{initiative['title']}]({initiative['link']})") # else: # st.warning("No government initiatives found.") # # Footer # st.sidebar.title("About BinSight") # st.sidebar.info( # """ # BinSight is an initiative to educate people about waste management and to connect # them with events, news, and government programs to make our planet sustainable. # """ # ) # if __name__ == "__main__": # main() # import streamlit as st # import requests # from bs4 import BeautifulSoup # import json # from serpapi import GoogleSearch # # Constants for Google Search API (serpapi) # SERPAPI_API_KEY = "8369b2ad95bdb8602cb3f5da80c056e646691599ea0f5aeb01ea47cf18f28270" # # Fetch the latest news on waste management # def fetch_news(): # st.info("Fetching the latest news on waste management...") # try: # url = "https://news.google.com/rss/search?q=waste+management" # response = requests.get(url, timeout=10) # response.raise_for_status() # soup = BeautifulSoup(response.content, "xml") # articles = [entry.title.text for entry in soup.find_all("item")] # if not articles: # raise ValueError("No news articles found.") # return articles # except Exception as e: # st.warning(f"Error fetching news: {e}") # st.info("Searching for waste management news...") # return fetch_from_google("waste management news") # # Fetch upcoming webinars and hackathons # def fetch_webinars_and_hackathons(): # st.info("Fetching upcoming webinars and hackathons on waste management...") # try: # url = "https://www.google.com/search?q=waste+management+webinars+hackathons" # response = requests.get(url, timeout=10) # response.raise_for_status() # soup = BeautifulSoup(response.content, "html.parser") # webinars = [item.text for item in soup.find_all("h3", limit=5)] # if not webinars: # raise ValueError("No webinars or hackathons found.") # return webinars # except Exception as e: # st.warning(f"Error fetching webinars: {e}") # st.info("Searching for webinars and hackathons...") # return fetch_from_google("waste management webinars hackathons") # # Fetch Indian government initiatives related to waste management # def fetch_government_initiatives(): # st.info("Fetching Indian government initiatives on waste management...") # try: # url = "https://swachhbharat.mygov.in/" # response = requests.get(url, timeout=10) # response.raise_for_status() # soup = BeautifulSoup(response.content, "html.parser") # initiatives = [item.text.strip() for item in soup.find_all("h2", limit=5)] # if not initiatives: # raise ValueError("No government initiatives found.") # return initiatives # except Exception as e: # st.warning(f"Error fetching government initiatives: {e}") # st.info("Searching for government initiatives on waste management...") # return fetch_from_google("Indian government initiatives waste management") # # Search using Google API (serpapi) for news, webinars, or government initiatives # def fetch_from_google(query): # params = { # "q": query, # "api_key": SERPAPI_API_KEY, # "engine": "google", # } # search = GoogleSearch(params) # results = search.get_dict() # if 'organic_results' not in results: # return [f"No results found for '{query}'"] # data = [result['title'] for result in results['organic_results']] # return data if data else [f"No results found for '{query}'"] # # Main function to organize everything # def main(): # st.title("BinSight - Waste Management News, Webinars, and Initiatives") # # Display News # st.subheader("Latest News on Waste Management") # news = fetch_news() # for item in news: # st.write(f"- {item}") # # Display Webinars & Hackathons # st.subheader("Upcoming Webinars & Hackathons") # webinars = fetch_webinars_and_hackathons() # for item in webinars: # st.write(f"- {item}") # # Display Government Initiatives # st.subheader("Indian Government Initiatives on Waste Management") # initiatives = fetch_government_initiatives() # for item in initiatives: # st.write(f"- {item}") # # Run the Streamlit app # if __name__ == "__main__": # main() # import streamlit as st # import requests # from bs4 import BeautifulSoup # import pandas as pd # # Function to fetch news articles # # Function to fetch news articles # def fetch_news(): # st.info("Fetching latest news on waste management...") # url = "https://news.google.com/rss/search?q=waste+management+india" # response = requests.get(url) # soup = BeautifulSoup(response.content, "lxml-xml") # Use lxml-xml parser # articles = soup.find_all("item")[:5] # news = [{"title": item.title.text, "link": item.link.text} for item in articles] # return news # # Function to fetch hackathons/webinars # def fetch_hackathons(): # st.info("Fetching hackathons and webinars related to waste management...") # url = "https://www.eventbrite.com/d/online/environment--conferences/" # response = requests.get(url) # soup = BeautifulSoup(response.text, "html.parser") # events = soup.find_all("div", {"class": "search-event-card-wrapper"})[:5] # hackathons = [] # for event in events: # title = event.find("div", {"class": "eds-event-card__formatted-name--is-clamped"}).text # link = event.find("a")["href"] # hackathons.append({"title": title, "link": link}) # return hackathons # def fetch_government_initiatives(): # st.info("Fetching Indian government initiatives on waste management...") # # Alternative sources for government initiatives # urls = [ # "https://mohua.gov.in/", # "https://sbmurban.org/", # ] # initiatives = [] # for url in urls: # try: # response = requests.get(url, timeout=10) # response.raise_for_status() # soup = BeautifulSoup(response.content, "html.parser") # # Example: Adjust parsing logic based on the website's structure # initiatives.extend([item.text.strip() for item in soup.find_all("h2", limit=5)]) # except requests.exceptions.RequestException as e: # st.warning(f"Could not fetch data from {url}: {e}") # if not initiatives: # st.error("No government initiatives found.") # return ["No data available."] # return initiatives # # Streamlit app layout # def main(): # st.set_page_config(page_title="BinSight", layout="wide") # st.title("🌍 BinSight - Waste Management & Education") # st.markdown( # """ # Welcome to **BinSight**! This platform provides real-time updates on: # - 📰 Current news on waste management. # - 💡 Hackathons and webinars related to waste management. # - 📜 Indian government initiatives. # """ # ) # # Tabs for better UI # tab1, tab2, tab3 = st.tabs(["📰 News", "💡 Hackathons/Webinars", "📜 Govt Initiatives"]) # # Tab 1: News # with tab1: # news = fetch_news() # if news: # for item in news: # st.markdown(f"[{item['title']}]({item['link']})") # else: # st.warning("No news articles found.") # # Tab 2: Hackathons/Webinars # with tab2: # hackathons = fetch_hackathons() # if hackathons: # for event in hackathons: # st.markdown(f"[{event['title']}]({event['link']})") # else: # st.warning("No hackathons or webinars found.") # # Tab 3: Govt Initiatives # with tab3: # initiatives = fetch_government_initiatives() # if initiatives: # for initiative in initiatives: # st.markdown(f"[{initiative['title']}]({initiative['link']})") # else: # st.warning("No government initiatives found.") # # Footer # st.sidebar.title("About BinSight") # st.sidebar.info( # """ # BinSight is an initiative to educate people about waste management and to connect # them with events, news, and government programs to make our planet sustainable. # """ # ) # if __name__ == "__main__": # main()