metadata

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

🧠 Research Paper Summarizer

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.

🔗 Live Demo

➡️ Try it now on Hugging Face Spaces:
👉 https://huggingface.co/spaces/omvishesh/ResearchpaperSummarizer

📌 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

🚀 How It Works

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

🛠 Tech Stack

🧠 LLaMA 3.3 -70B 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

📦 Requirements

To run this app locally, install the following:

pip install -r requirements.txt


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