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metadata
title: ResearchpaperSummarizer
emoji: π»
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 5.29.1
app_file: app.py
pinned: false
π§ Research Paper Summarizer
Welcome to the Research Paper Summarizer β 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.
π Live Demo
β‘οΈ Try it now on Hugging Face Spaces:
π https://huggingface.co/spaces/omvishesh/ResearchpaperSummarizer
π Features
- π· Upload research paper screenshots or PDFs
- π Automatic OCR-based text extraction using
EasyOCR
- π§ Summarization and key subdomain detection using
LLaMA 3
viaLangchain + Groq API
- β Simple and clean Gradio interface
π 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
π Tech Stack
- π§ LLaMA 3.3 -70B via Groq API
- π§Ύ EasyOCR for image-to-text
- βοΈ Langchain for structured prompt engineering
- πΌ OpenCV and pdf2image for input handling
- π Gradio for UI
- βοΈ Deployed on Hugging Face Spaces
π¦ 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