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| import pandas as pd | |
| import streamlit as st | |
| from Scrapper_Summarizer import scrape_dawn, scrape_brecorder, scrape_tnews | |
| def load_articles_in_batches(articles, batch_size, offset): | |
| return articles[offset:offset + batch_size] | |
| def News_scrapper(): | |
| # App title and description | |
| st.title("📰 Business News Scrapper & Summarizer") | |
| st.write("This app scrapes the latest business news from *Dawn* and *Business Recorder* and summarizes the articles for easy reading.") | |
| # Add a sidebar for navigation | |
| st.sidebar.write("Use this sidebar to navigate between options.") | |
| st.sidebar.markdown("### Scraping Options") | |
| # Add a button for Dawn News scraping | |
| if st.sidebar.button('Scrape Dawn News'): | |
| st.subheader("Latest Business News from Dawn") | |
| with st.spinner("Scraping and summarizing news from Dawn..."): | |
| dawn_articles = scrape_dawn() | |
| if dawn_articles: | |
| df = pd.DataFrame(dawn_articles) | |
| st.dataframe(df) | |
| else: | |
| st.write("No articles found.") | |
| # Add a button for Business Recorder scraping | |
| if st.sidebar.button('Scrape Business Recorder'): | |
| st.subheader("Latest Business News from Business Recorder") | |
| with st.spinner("Scraping and summarizing news from Business Recorder..."): | |
| brecorder_articles = scrape_brecorder() | |
| if brecorder_articles: | |
| df = pd.DataFrame(brecorder_articles) | |
| st.dataframe(df) | |
| else: | |
| st.write("No articles found.") | |
| # Add a button for The News scraping | |
| if st.sidebar.button('Scrape The News'): | |
| st.subheader("Latest Business News from The News") | |
| with st.spinner("Scraping and summarizing news from The News..."): | |
| tnews_articles = scrape_tnews() | |
| if tnews_articles: | |
| df = pd.DataFrame(tnews_articles) | |
| st.dataframe(df) | |
| else: | |
| st.write("No articles found.") | |
| # Sidebar details and beautification | |
| st.sidebar.markdown("---") | |
| st.sidebar.info("This utility scrapes the latest business articles and generates summaries using the BART summarization model. Great for quick reads!") | |
| st.sidebar.markdown("---") | |
| st.sidebar.write("Created by Strategy") | |