🤖 AI Document Summarizer

Turn long documents into clear, structured summaries in seconds — powered by Gemini and wrapped in a clean Streamlit UI.

---

Overview

This project is a beginner-friendly AI Document Summarizer that accepts either pasted text or a .txt file upload, then generates a professional, structured summary with:

• Short Summary (3–4 concise lines)
• Detailed Summary (clear explanation)
• Key Points (clean bullet list)

The app uses the Gemini API (model: Gemini 2.5 Flash) and runs locally with Streamlit.

---

Features

• 📝 Short summary generation
• 📖 Detailed summary generation
• 🔑 Key points extraction
• 📄 .txt file upload support
• 🎛️ Clean, responsive UI (Generate + Clear)

---

Tech Stack

• Python
• Streamlit (UI)
• Gemini API via google-genai
• python-dotenv (loads .env locally)

---

Screenshots

---

Installation

1) Install dependencies

pip install -r requirements.txt

2) Run the app

streamlit run app.py

Streamlit will print a local URL in the terminal (commonly http://localhost:8501).

---

Environment Variables

Create a .env file in the project root (this file should stay private):

GEMINI_API_KEY=your_api_key_here
GEMINI_MODEL=gemini-2.5-flash

Notes:

• Do not wrap the key in quotes.
• Do not add spaces around =.

---

Usage

1. Open the app in your browser.
2. Paste a long text into the input box or upload a .txt file.
3. Click Generate Summary.
4. Review the results under:
   • 📝 Short Summary
   • 📖 Detailed Summary
   • 🔑 Key Points

---

Future Improvements

• Support PDFs and DOCX uploads
• Add “Export” options (Markdown / TXT)
• Add token/length controls for tighter summaries
• Improve reliability with stricter output schema (JSON + rendering)
• Add caching for repeated inputs