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---
title: News Summarizer
emoji: 📰
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.22.0
app_file: app.py
pinned: false
---
# Live Company News Analyzer
**A project by Sara Nimje - [Visit Portfolio Website](https://saranimje.github.io/)**
This application fetches live news articles for a company, analyzes sentiment, summarizes content, and converts it into Hindi audio.
## Objective:
I have developed a web-based application that extracts key details from multiple news articles related to a given company. The application performs sentiment analysis, conducts a comparative analysis, and generates a text-to-speech (TTS) output in Hindi. Users can input a company name and receive a structured sentiment report along with an audio summary, making the information more accessible and insightful.
# Project Setup
## Installation:
- Clone this repository -
`git clone https://github.com/saranimje/news-summarizer.git `
- Navigate to directory -
`cd news-summarizer`
- Install Dependencies -
`pip install -r requirements.txt`
- Run Gradio App -
`python app.py`
- Run API (Optional) -
`uvicorn api:app --reload`
# Model Details
## Summarization Model
- Uses transformers from Hugging Face.
- Model: `google/long-t5-tglobal-base`
## Sentiment Analysis
Uses default sentiment-analysis pipeline from Hugging Face.
## Topic Modelling
- Uses TF-IDF vectorization with NMF (Non-Negative Matrix Factorization) to extract key topics from news articles.
- Utilizes cosine similarity to measure relationships between articles.
## Text-to-Speech
Uses `gTTS (Google Text-to-Speech)`
## Translation
Uses `GoogleTranslator` (source: English, target: Hindi).
# API Development
This project includes a **FastAPI-based API** to fetch news articles and analyze them.
## **Endpoints:**
**1. Home**
- `GET /`
- Returns: `{"message": "News Summarization API is running!"}`
**2. Fetch News**
- `GET /news/?company_name=Tesla&article_number=5`
- Returns JSON output containing news articles and analysis.
# API Development
## Using Postman or Curl:
1. Open **Postman** or any API testing tool.
2. Send a `GET` request to:
` http://127.0.0.1:8000/news/?company_name=Tesla&article_number=5`
3. View JSON response with news articles and summaries.
## Third-Party API Usage
- **News Sources**: Google Search (`googlesearch` Python module).
- **Libraries Used**:
- `requests` for API calls
- `gensim`, `deep_translator`, `nltk` for text processing.
- `googlesearch` to fetch news links.
- `feedparser` for RSS feeds. |