Update README.md

README.md

@@ -12,3 +12,65 @@ short_description: ' Fetch the articles of the given company name '
 
 # News_Summarisation_Sentiment_Analysis
 This is a web-based application that 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.
+
+
+## Features
+- Company-specific news extraction
+- Advanced text summarization using Pegasus model
+- Sentiment analysis with FinBERT
+- Topic extraction using LDA
+- Comparative sentiment analysis
+- Text-to-speech conversion in Hindi
+- User-friendly Streamlit interface
+
+## Project Structure
+
+
+## Installation
+1. Create a virtual environment:
+```bash
+python -m venv myenv
+# Windows
+myenv\Scripts\activate
+```
+2. Install dependencies:
+   ``` bash
+   pip install -r requirements.txt
+   ```
+
+3. Run the application
+```
+streamlit run app.py
+```
+
+4. Usage
+   ```
+##Enter a company name and click "Analyze" to get:
+-->News articles
+-->Summaries
+-->Sentiment analysis
+-->Topic distribution
+-->Comparative analysis
+-->Audio output in Hindi
+##Technical Details
+-->Frontend: Streamlit
+-->NLP Models:
+-->Pegasus for summarization
+-->FinBERT for sentiment analysis
+-->LDA for topic modeling
+-->Audio Processing: GTTS for text-to-speech
+-->Backend: FastAPI
+##Requirements
+-->Python 3.8+
+-->CUDA (optional for GPU acceleration)
+-->Internet connection for model downloads
+
+##License
+-->MIT License
+
+##Acknowledgments
+-->Hugging Face for NLP models
+-->Streamlit for web interface
+-->NLTK for text processing
+
+  ```