News Summarization and TTS Application Development

Jeevan V

Completed work

AI Developer

Web Designer

Web Developer

BeautifulSoup

Hugging Face

Python

Computer Software

News Summarization and Text-to-Speech Application News Summarization and Text-to-Speech Application

Overview

This project is a News Summarization and Text-to-Speech (TTS) ApplicationNews Summarization and Text-to-Speech (TTS) Application that extracts news articles, performs sentiment analysis, conducts comparative analysis, and generates Hindi TTS output. The application is built using PythonPython, with a web interface powered by GradioGradio, and is deployed on Hugging Face SpacesHugging Face Spaces.

Features

-News ScrapingNews Scraping: Extracts news articles from various sources using BeautifulSoup.

-SummarizationSummarization: Generates concise summaries of extracted news articles.

-Sentiment AnalysisSentiment Analysis: Analyzes the sentiment (positive, negative, neutral) of the news content.

-Comparative AnalysisComparative Analysis: Compares different news sources for similar topics.

-Text-to-Speech (TTS)Text-to-Speech (TTS): Converts Hindi text into speech output.

-Web InterfaceWeb Interface: Provides an interactive UI using Streamlit.

-FastAPI IntegrationFastAPI Integration: Exposes API endpoints for various functionalities.

-Deployment on Hugging Face SpacesDeployment on Hugging Face Spaces: Makes the app easily accessible online.

Project Structure

├── news_scraping.py # Backend script for web scraping
├── api.py # FastAPI implementation for handling API requests
├── app.py # Gradio frontend for the web interface
├── requirements.txt # List of required Python packages
├── README.md # Project documentation

Installation and Setup

PrerequisitesPrerequisites

Ensure you have the following installed:

Python 3.7+
pip (Python package manager)
Virtual environment (optional but recommended)

Steps to Run Locally

Use VS Code or any coding environment to verify the Python version by running

python --version

Create a virtual environment (optional but recommended):

python -m venv venv
source venv/bin/activate # On Windows use: venv\Scripts\activate

Install dependencies

pip install -r requirements.txt

Run the FastAPI backend

uvicorn api:app --reload

Run the Streamlit frontend

python app.py

Access the web interface or the hugging face link: https://huggingface.co/spaces/jeez21/21 using your browser

Deployment on Hugging Face Spaces

Prepare your repository: Ensure app.py is set as the entry point. Include a requirements.txt file.

Push to Hugging Face Spaces Create a new Space on Hugging Face. Choose Streamlit as the SDK. Push the code to the repository.

Run the application: Hugging Face will automatically build and deploy the app. Access the deployed URL.

Future Enhancements

Add support for multiple languages. Improve the summarization model for better accuracy. Integrate additional news sources. Enhance UI with more interactive features.

Contact

For any questions or issues, feel free to reach out:

Email: jeevz0211@gmail.com LinkedIn:(https://www.linkedin.com/in/jeevan-v-3640841a7/)

Enjoy using the News Summarization and TTS Application!

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Completed work

Posted Sep 8, 2025

Developed a News Summarization and TTS app with sentiment analysis and Hindi TTS output.

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