Update README.md

README.md

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 license: apache-2.0
 short_description: QandAI
 ---
+# 📝 Document Q&A Demo  
+[![Hugging Face Space](https://img.shields.io/badge/HuggingFace-Spaces-blue?logo=huggingface)](https://huggingface.co/spaces/your-username/doc-qa)  
+[![Gradio UI](https://img.shields.io/badge/Gradio-5.31.0-brightgreen?logo=gradio)]  
+[![Model](https://img.shields.io/badge/Model-RoBERTa--SQuAD2-orange)](https://huggingface.co/deepset/roberta-base-squad2)  
+[![License](https://img.shields.io/badge/License-MIT-lightgrey)](LICENSE)
+
+---
+
+## 🚀 Overview  
+Turn **any piece of text**—policies, FAQs, product descriptions—into an interactive **QA interface**.  
+Leverages **contextual embeddings** and **span‐extraction** to pinpoint precise answers in real time.
+
+> **Key AI buzzwords:**  
+> • Contextual Question Answering • Span Extraction • Transformer-based NLP • Real-time inference • Edge (CPU) deployment • User-centric UX • Cloud-native AI
+
+---
+
+## ✨ Features
+
+| 🔑 Feature                  | 🔍 Description                                                    |
+|-----------------------------|--------------------------------------------------------------------|
+| **📚 Document Context**      | Paste up to thousands of words—no size limits beyond text input.    |
+| **❓ Natural Questions**     | Ask anything about your document in plain English.                  |
+| **⚡ Instant Answers**       | Results in <500 ms on free CPU tier—no GPUs required.               |
+| **📈 Confidence Score**      | See the model’s certainty (0–1) alongside each answer.              |
+| **🎨 Sleek Gradio UI**       | Intuitive Blocks layout with input, button, and output panel.       |
+| **🔧 Drop-in Deployment**    | Commit three files—Spaces auto-builds and hosts your demo.          |
+
+---
+
+## 🏗️ Architecture & Workflow
+
+1. **User pastes** document text into the **Context** box.  
+2. **User submits** a free-form question.  
+3. **`transformers` QA pipeline** (RoBERTa-SQuAD2) locates the answer span.  
+4. **Answer + confidence** rendered in the UI.
+
+All computation happens **locally on the Space**, ensuring **data privacy** and **zero API costs**.
+
+---
+
+## 🛠️ Local Development
+
+```bash
+git clone https://github.com/your-username/doc-qa.git
+cd doc-qa
+python3 -m venv venv && source venv/bin/activate
+pip install -r requirements.txt
+python app.py
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference