README.md

metadata

title: News Summarization
emoji: 🚀
colorFrom: blue
colorTo: red
sdk: streamlit
sdk_version: 1.43.2
app_file: app.py
pinned: false
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/67dc3aea84db6fa0afd835ad/yn7dZJIHAsFWtlNeBkwds.png

News Summarization and Text-to-Speech Application

This application extracts key details from multiple news articles related to a given company, performs sentiment analysis, conducts a comparative analysis, and generates a text-to-speech (TTS) output in Hindi.

Objective

Develop a web-based application that allows users to input a company name and receive a structured sentiment report along with an audio output.

Requirements

1. News Extraction: Extract and display the title, summary, and other relevant metadata from at least 10 unique news articles related to the given company using BeautifulSoup (bs4).
2. Sentiment Analysis: Perform sentiment analysis on the article content (positive, negative, neutral).
3. Comparative Analysis: Conduct a comparative sentiment analysis across the articles to derive insights on how the company's news coverage varies.
4. Text-to-Speech: Convert the summarized content into Hindi speech using an open-source TTS model.
5. User Interface: Provide a simple web-based interface using Streamlit where users can input a company name to fetch news articles and generate the sentiment report.
6. API Development: Communication between the frontend and backend must happen via APIs.
7. Deployment: Deploy the application on Hugging Face Spaces for testing.
8. Documentation: Submit a detailed README file explaining implementation, dependencies, and setup instructions.