| import streamlit as st | |
| from utils import scrape_news, analyze_sentiment, comparative_analysis, generate_hindi_tts | |
| st.title("News Summarization and Sentiment Analysis") | |
| company_name = st.text_input("Enter Company Name") | |
| if st.button("Analyze"): | |
| articles = scrape_news(company_name) | |
| for article in articles: | |
| article["sentiment"] = analyze_sentiment(article["summary"]) | |
| sentiment_counts = comparative_analysis(articles) | |
| st.write(sentiment_counts) | |
| tts_file = generate_hindi_tts("Summary of sentiment analysis") | |
| st.audio(tts_file) |