Update README.md

README.md

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-# 🧠 RAG-based Research Paper Chatbot
-
-After multiple failed prototypes and experiments with different LLMs, I’m excited to share a working version of my PDF chatbot web app — where users can upload a research paper or any PDF and chat with an AI model that gives contextually relevant answers based on the document contents!
-
-### 💡 What it does:
-Upload any research paper (or PDF), and the app will let you chat with it intelligently. It breaks down the PDF into chunks, creates embeddings, indexes them, and uses a language model to generate answers from the document content. Perfect for students, researchers, or curious minds who want to understand dense PDFs faster!
-
-## 🚀 Live Demo
-[Click here](https://huggingface.co/spaces/ommore86/research-paper-chatbot) to get the live demo of the webpage !!!
-
-## 📸 Screenshots
-![Homepage](homepage.png)
-![ChatPage-1](chatpage.png)
-![ChatPage-1](chatpage2.png)
-![TechStack](tech_stack.png)
-
-## 🛠️ Tech Stack & Tools:
-- <b>Frontend:</b> TailwindCSS
-- <b>Backend:</b> Python + Flask
-- <b>PDF Processing:</b> LangChain
-- <b>Embeddings:</b> all-MiniLM-L6-v2 (HuggingFace)
-- <b>Vector Store:</b> FAISS (for fast similarity search)
-- <b>LLM:</b> llama-3.1-8b-instant — "after trying with other similar models like Mixtral and llama-3.3-70b-versatile"
-- <b>Deployment:</b> Hugging Face Spaces (Earlier I used Vercel → then Render → but RAM limits made me shift to HF Spaces, and it’s been a game changer!)
-
-## Publication
-I have made the publication of this project on readytensor.ai. [Click here](https://app.readytensor.ai/publications/rag-based-research-paper-chatbot-D2mnoaeo4HhR) and do check it out!
-
-## 🤝 Let's Connect!
-If you’d like to collaborate, give feedback, or just say hi — don’t hesitate to reach out or connect with me on [LinkedIn](https://www.linkedin.com/in/om-more-b802b2281/).
+title: Research Paper Chatbot
+emoji: 📄
+colorFrom: blue
+colorTo: purple
+sdk: docker
+app_file: app.py
+pinned: false