📚 Scholar Summarizer

Scholar Summarizer is a web-based research paper summarization tool built with Flask.
It leverages Hugging Face transformer models to help students and researchers quickly extract key insights from lengthy academic papers.

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🌐 Live Demo

🔗 Try it out here: ScholarSummarizer

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✨ Features

• 📄 Input research paper content
• 🤖 Summarizes using Hugging Face transformer models
• 🧠 Designed for academic text understanding
• ⚡ Simple, fast, and Flask-powered web interface
• 🧾 Ideal for students, educators, and researchers

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🛠 Tech Stack

• 🐍 Python
• 🌐 Flask (Web Interface)
• 🤗 Hugging Face Transformers API
• ☁️ Railway (Deployment)

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🚀 Getting Started Locally

1. Clone the repository

git clone https://github.com/your-username/scholar-summarizer.git
cd scholar-summarizer

2. Install dependencies

pip install -r requirements.txt

3. Set your Hugging Face API Key

Create a .env file in the root directory and add:

HF_API_KEY=your_huggingface_api_key_here

4. Run the Flask app

python app.py

Then open your browser and go to:
📍 http://127.0.0.1:5000

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📸 Screenshots

Add screenshots here to show how the interface looks.

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📄 License

MIT License. See LICENSE for more information.

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