Spaces:
Sleeping
Sleeping
File size: 2,047 Bytes
9d61546 17b7da5 eca5dfd 17b7da5 eca5dfd 17b7da5 9d61546 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
title: ResearchpaperSummarizer
emoji: 💻
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 5.29.1
app_file: app.py
pinned: false
---
# 🧠 Research Paper Summarizer
[](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.
---
## 🔗 Live Demo
➡️ **Try it now on Hugging Face Spaces**:
👉 [https://huggingface.co/spaces/omvishesh/ResearchpaperSummarizer](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
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
---
## 🛠 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**
---
## 📦 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
|