README.md

---
title: ResearchpaperSummarizer
emoji: 💻
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 5.29.1
app_file: app.py
pinned: false
---

# 🧠 Research Paper Summarizer

![Gradio App](https://img.shields.io/badge/Gradio-Interface-blue?logo=gradio)
![Status](https://img.shields.io/badge/Status-Deployed-brightgreen)
[![Hugging Face Spaces](https://img.shields.io/badge/🤗%20View%20on%20Hugging%20Face-orange)](https://huggingface.co/spaces/omvishesh/ResearchpaperSummarizer)

Welcome to the **Research Paper Summarizer** — a powerful tool designed to automatically extract and summarize text from research paper images or PDFs, while identifying key subdomains and technical topics covered in the document.

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## 🔗 Live Demo

➡️ **Try it now on Hugging Face Spaces**:  
👉 [https://huggingface.co/spaces/omvishesh/ResearchpaperSummarizer](https://huggingface.co/spaces/omvishesh/ResearchpaperSummarizer)

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## 📌 Features

- 📷 Upload **research paper screenshots** or **PDFs**
- 🔍 Automatic **OCR-based text extraction** using `EasyOCR`
- 🧠 Summarization and **key subdomain detection** using `LLaMA 3` via `Langchain + Groq API`
- ✅ Simple and clean **Gradio interface**

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## 🚀 How It Works

1. **Upload** a research paper image or PDF.
2. The system performs **OCR** to extract readable text.
3. A custom prompt is sent to **LLaMA 3.3** using the `Groq API`.
4. The app returns:
   - A concise **summary**
   - A list of **key subdomains & topics** covered

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## 🛠 Tech Stack

- 🧠 **[LLaMA 3.3 -70B](https://huggingface.co/meta-llama)** via Groq API
- 🧾 **EasyOCR** for image-to-text
- ⚙️ **Langchain** for structured prompt engineering
- 🖼 **OpenCV** and **pdf2image** for input handling
- 🌐 **Gradio** for UI
- ☁️ **Deployed on Hugging Face Spaces**

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## 📦 Requirements

To run this app locally, install the following:

```bash
pip install -r requirements.txt


Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference