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| import streamlit as st | |
| from bs4 import BeautifulSoup as soup | |
| from urllib.request import urlopen | |
| from newspaper import Article | |
| import nltk | |
| nltk.download('punkt') | |
| st.set_page_config(page_title='NewsARC by theaimart') | |
| def fetch_news_search_topic(topic): | |
| site = 'https://news.google.com/rss/search?q={}'.format(topic) | |
| op = urlopen(site) # Open that site | |
| rd = op.read() # read data from site | |
| op.close() # close the object | |
| sp_page = soup(rd, 'xml') # scrapping data from site | |
| news_list = sp_page.find_all('item') # finding news | |
| return news_list | |
| def fetch_top_news(): | |
| site = 'https://news.google.com/news/rss' | |
| op = urlopen(site) # Open that site | |
| rd = op.read() # read data from site | |
| op.close() # close the object | |
| sp_page = soup(rd, 'xml') # scrapping data from site | |
| news_list = sp_page.find_all('item') # finding news | |
| return news_list | |
| def fetch_category_news(topic): | |
| site = 'https://news.google.com/news/rss/headlines/section/topic/{}'.format(topic) | |
| op = urlopen(site) # Open that site | |
| rd = op.read() # read data from site | |
| op.close() # close the object | |
| sp_page = soup(rd, 'xml') # scrapping data from site | |
| news_list = sp_page.find_all('item') # finding news | |
| return news_list | |
| def display_news(list_of_news, news_quantity): | |
| c = 0 | |
| for news in list_of_news: | |
| c += 1 | |
| st.write('**({}) {}**'.format(c, news.title.text)) | |
| news_data = Article(news.link.text) | |
| try: | |
| news_data.download() | |
| news_data.parse() | |
| news_data.nlp() | |
| except Exception as e: | |
| st.error(e) | |
| with st.expander(news.title.text): | |
| st.markdown( | |
| '''<h6 style='text-align: justify;'>{}"</h6>'''.format(news_data.summary), | |
| unsafe_allow_html=True) | |
| st.markdown("[Read more at {}...]({})".format(news.source.text, news.link.text)) | |
| st.success("Published Date: " + news.pubDate.text) | |
| if c >= news_quantity: | |
| break | |
| def run(): | |
| st.title("NewsARC: A Summarised News") | |
| category = ['--Select--', 'Trending News', 'Favourite Topics', 'Search Topic'] | |
| cat_op = st.selectbox('Select your Category', category) | |
| if cat_op == category[0]: | |
| st.warning('Please select Type!!') | |
| elif cat_op == category[1]: | |
| st.subheader("Here is the Trending News for you") | |
| no_of_news = st.slider('Number of News:', min_value=5, max_value=25, step=1) | |
| news_list = fetch_top_news() | |
| display_news(news_list, no_of_news) | |
| elif cat_op == category[2]: | |
| av_topics = ['Choose Topic', 'WORLD', 'NATION', 'BUSINESS', 'TECHNOLOGY', 'ENTERTAINMENT', 'SPORTS', 'SCIENCE', 'HEALTH'] | |
| st.subheader("Choose your favourite Topic") | |
| chosen_topic = st.selectbox("Choose your favourite Topic", av_topics) | |
| if chosen_topic == av_topics[0]: | |
| st.warning("Please Choose the Topic") | |
| else: | |
| no_of_news = st.slider('Number of News:', min_value=5, max_value=100, step=1) | |
| news_list = fetch_category_news(chosen_topic) | |
| if news_list: | |
| st.subheader("Here are the some {} News for you".format(chosen_topic)) | |
| display_news(news_list, no_of_news) | |
| else: | |
| st.error("No News found for {}".format(chosen_topic)) | |
| elif cat_op == category[3]: | |
| user_topic = st.text_input("Enter your Topic") | |
| no_of_news = st.slider('Number of News:', min_value=5, max_value=100, step=1) | |
| if st.button("Search") and user_topic != '': | |
| user_topic_pr = user_topic.replace(' ', '') | |
| news_list = fetch_news_search_topic(topic=user_topic_pr) | |
| if news_list: | |
| st.subheader("Here are the some {} News for you".format(user_topic.capitalize())) | |
| display_news(news_list, no_of_news) | |
| else: | |
| st.error("No News found for {}".format(user_topic)) | |
| else: | |
| st.warning("Please write Topic Name to Search") | |
| st.write("by theaimart") | |
| run() | |