News Summarization, Sentiment Analysis & Text-to-Speech

This project extracts news articles, summarizes them, performs sentiment analysis, and converts summaries to Hindi speech.

Features

✅ Fetches latest 10 news articles
✅ Summarizes articles using LSA
✅ Performs sentiment analysis (Positive, Negative, Neutral)
✅ Converts summaries to speech in Hindi
✅ Displays sentiment distribution

Setup Instructions

1️⃣ Install Dependencies

pip install -r requirements.txt

2️⃣ Run the FastAPI Backend

uvicorn api:app --reload

3️⃣ Run the Streamlit Frontend

streamlit run app.py

4️⃣ Open in Browser

Go to http://localhost:8501/

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API Endpoints

1️⃣ Analyze News (GET /analyze?company=Tesla)

🔹 Returns JSON with article titles, summaries, and sentiment analysis.