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A minimalist text summarization tool powered by transformer models (like T5 & BART). Built on Google Colab for easy access and Streamlit for a clean, Gen Z–friendly UI. Perfect for summarizing articles, essays, or long reads in one click. Fast, free, and ✨aesthetic✨

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📝✨ Text Summarizer Lite – Summarize It Like a Pro ✨📝

“Why read the whole thing when you can vibe with the summary?” – every Gen Z ever.


💡 What Is This?

Text Summarizer Lite is your ✨aesthetic✨ go-to tool to shrink long, boring walls of text into short, meaningful summaries.
Perfect for students, writers, or anyone with reading fatigue.

This baby runs on Google Colab (free GPU baby!) and comes with a clean Streamlit UI to make your NLP experience chic and easy.


🎯 Features

  • 🧠 Transformer-based summarization (T5/BART/Pegasus vibes)
  • 📃 Paste your whole blog/article/essay and get ✨TL;DR✨
  • 🎨 Built with Streamlit – minimalist & mobile-friendly
  • ☁️ Run on Colab – no install, no stress

🛠️ Tech Stack

Tool Why We Love It
Python 🐍 duh
HuggingFace 🤗 for that transformer flex
Streamlit 🌈 UI but make it aesthetic
Google Colab ☁️ free GPU and cloud coding freedom

🚀 How to Use

💻 Option A – Run on Colab (recommended for chill start)

Open In Colab

Just upload your notebook, click those play buttons, and summarize your heart out.
No installs, no drama.


🖥️ Option B – Run Locally with Streamlit

git clone https://github.com/yourusername/text-summarizer-lite.git
cd text-summarizer-lite
pip install -r requirements.txt
streamlit run app.py

About

A minimalist text summarization tool powered by transformer models (like T5 & BART). Built on Google Colab for easy access and Streamlit for a clean, Gen Z–friendly UI. Perfect for summarizing articles, essays, or long reads in one click. Fast, free, and ✨aesthetic✨

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