Update README.md

README.md

@@ -1,28 +1,30 @@
----
-title: News Summarization
-emoji: 👍
-colorFrom: blue
-colorTo: red
-sdk: streamlit
-sdk_version: "1.43.2"
-app_file: app.py
-pinned: false
----
-# 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.
+---
+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.