Update README.md

README.md

@@ -1,67 +1,79 @@
-# News Summarization & Sentiment Analysis
-
-## Overview
-This project is a web-based application that extracts news articles related to a given company, performs sentiment analysis, generates a comparative analysis, and converts the summarized content into Hindi speech.
-
-## Features
-- **News Extraction:** Fetches news articles using NewsAPI and scrapes additional content when available.
-- **Sentiment Analysis:** Categorizes each article as Positive, Negative, or Neutral.
-- **Comparative Analysis:** Provides an overview of sentiment distribution across articles.
-- **Text-to-Speech:** Converts summarized news titles into Hindi speech.
-- **Web Interface:** Allows users to input a company name via a Streamlit UI.
-- **API Integration:** Backend developed using FastAPI to communicate with the frontend.
-
-## Installation
-### Prerequisites
-Ensure you have Python installed (>= 3.8). Install the required dependencies:
-
-```bash
-pip install requests nltk beautifulsoup4 gtts deep-translator streamlit fastapi pydantic uvicorn
-```
-
-### Download NLTK Data
-To enable sentiment analysis, run:
-```python
-import nltk
-nltk.download('vader_lexicon')
-```
-
-## Usage
-### Running the FastAPI Backend
-Start the FastAPI server using:
-```bash
-uvicorn news:app --reload
-```
-
-### Running the Streamlit UI
-Launch the web application:
-```bash
-streamlit run news.py
-```
-
-## API Endpoints
-- `POST /get_news/`
-  - **Request Body:**
-    ```json
-    { "company": "Tesla" }
-    ```
-  - **Response:**
-    ```json
-    {
-      "articles": [...],
-      "sentiment_summary": {"Positive": 3, "Negative": 4, "Neutral": 3}
-    }
-    ```
-
-## Deployment
-- **Deploy FastAPI Backend:** Use services like **AWS, Heroku, or Render**.
-- **Deploy Streamlit UI:** Host on **Streamlit Cloud or Hugging Face Spaces**.
-
-## Acknowledgments
-- [NewsAPI](https://newsapi.org/) for fetching news.
-- [NLTK](https://www.nltk.org/) for sentiment analysis.
-- [Google Translate API](https://pypi.org/project/deep-translator/) for Hindi translation.
-- [Streamlit](https://streamlit.io/) for the UI.
-- [FastAPI](https://fastapi.tiangolo.com/) for backend API.
-
-
+---
+title: News Sentiment Analyzer
+emoji: 🐨
+colorFrom: gray
+colorTo: blue
+sdk: streamlit
+sdk_version: 1.43.2
+app_file: app.py
+pinned: false
+short_description: 'simple app to analyze news sentiment '
+---
+
+# News Summarization & Sentiment Analysis
+
+## Overview
+This project is a web-based application that extracts news articles related to a given company, performs sentiment analysis, generates a comparative analysis, and converts the summarized content into Hindi speech.
+
+## Features
+- **News Extraction:** Fetches news articles using NewsAPI and scrapes additional content when available.
+- **Sentiment Analysis:** Categorizes each article as Positive, Negative, or Neutral.
+- **Comparative Analysis:** Provides an overview of sentiment distribution across articles.
+- **Text-to-Speech:** Converts summarized news titles into Hindi speech.
+- **Web Interface:** Allows users to input a company name via a Streamlit UI.
+- **API Integration:** Backend developed using FastAPI to communicate with the frontend.
+
+## Installation
+### Prerequisites
+Ensure you have Python installed (>= 3.8). Install the required dependencies:
+
+```bash
+pip install requests nltk beautifulsoup4 gtts deep-translator streamlit fastapi pydantic uvicorn
+```
+
+### Download NLTK Data
+To enable sentiment analysis, run:
+```python
+import nltk
+nltk.download('vader_lexicon')
+```
+
+## Usage
+### Running the FastAPI Backend
+Start the FastAPI server using:
+```bash
+uvicorn news:app --reload
+```
+
+### Running the Streamlit UI
+Launch the web application:
+```bash
+streamlit run news.py
+```
+
+## API Endpoints
+- `POST /get_news/`
+  - **Request Body:**
+    ```json
+    { "company": "Tesla" }
+    ```
+  - **Response:**
+    ```json
+    {
+      "articles": [...],
+      "sentiment_summary": {"Positive": 3, "Negative": 4, "Neutral": 3}
+    }
+    ```
+
+## Deployment
+- **Deploy FastAPI Backend:** Use services like **AWS, Heroku, or Render**.
+- **Deploy Streamlit UI:** Host on **Streamlit Cloud or Hugging Face Spaces**.
+
+## Acknowledgments
+- [NewsAPI](https://newsapi.org/) for fetching news.
+- [NLTK](https://www.nltk.org/) for sentiment analysis.
+- [Google Translate API](https://pypi.org/project/deep-translator/) for Hindi translation.
+- [Streamlit](https://streamlit.io/) for the UI.
+- [FastAPI](https://fastapi.tiangolo.com/) for backend API.
+
+