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GeezerVison is showing github.com — GitHub - Subhash-R11/Text-Summarizer: AI-powered text summarizer with multiple prompt styles, structured JSON output and an interactive UI

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Text Summarizer

A Streamlit app that summarizes text using Llama 3.3 (70B) via the Groq API.

Demo

Screenshot 2026-07-08 183911

Features

  • Paste any text and get a summary
  • Choose summary style: Concise Prose, Bullet Points, Explain Simply, Academic
  • Choose length: Short, Medium, Long
  • Word count stats and compression ratio
  • Key points extracted separately
  • Download summary as a .txt file

Setup

  1. Clone the repo and install dependencies:

    pip install -r requirements.txt
    
  2. Create a .env file in the project root and add your Groq API key:

    GROQ_API_KEY=your_groq_api_key_here
    

    Get a key from console.groq.com.

  3. Run the app:

    streamlit run app.py
    

Files

  • app.py — Streamlit UI
  • summarizer.py — Groq API call and response parsing
  • requirements.txt — dependencies

About

AI-powered text summarizer with multiple prompt styles, structured JSON output and an interactive UI

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