Update README.md

README.md

@@ -7,7 +7,77 @@ sdk: streamlit
 sdk_version: 1.43.2
 app_file: app.py
 pinned: false
-short_description: News Summarization and Text-to-Speech Application
----
+short_description: Sentiment Analysis Dashboard
+
+  This project implements a sentiment analysis dashboard that processes news articles about a selected company, summarizes the content, determines sentiment (positive, negative, or neutral), and provides a Hindi summary with text-to-speech (TTS) output. The application is built using Streamlit and deployed on Hugging Face Spaces.
+ Features
+
+News Extraction:
+
+Fetches the latest news articles related to the selected company using web scraping.
+
+Extracts the article title, content, and metadata.
+
+Summarization:
+
+Summarizes each article to a concise text using the Hugging Face Transformer model.
+
+Sentiment Analysis:
+
+Analyzes the sentiment of the summarized content (positive, negative, or neutral).
+
+Text-to-Speech (TTS):
+
+Converts the summarized Hindi text into speech using the gTTS library.
+
+Interactive Dashboard:
+
+Provides a user-friendly interface using Streamlit for input and output visualization.
+
+Customization:
+
+Allows users to select companies from a dropdown and adjust sentiment thresholds.
+
+Deployment:
+
+Hosted on Hugging Face Spaces for accessibility and testing.
+Dependencies
+
+Below are the required Python libraries:
+
+Main Libraries:
+
+streamlit
+
+streamlit-lottie
+
+requests
+
+beautifulsoup4
+
+pandas
+
+nltk
+
+transformers
+
+File Structure
+ project/
+├── app.py            # Main application script
+├── utils.py          # Utility functions for processing, scraping, and summarization
+├── api.py            # API functions to support modularity
+├── requirements.txt  # Required Python libraries
+├── README.md         # Documentation
+└── assets/           # Folder for Lottie animations or additional assets
+Usage
+
+Open the application in your browser (local Streamlit server or Hugging Face Spaces).
+
+Write the  company name.
+
+View extracted articles, summaries, sentiment distribution, and Hindi TTS output.
+
+Customize sentiment thresholds and other inputs as needed.
+--- 
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference