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| 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. |