Update README.md

README.md

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 app_file: app.py
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+# 📷✨ Object Detection Demo  
+[![Hugging Face Space](https://img.shields.io/badge/HuggingFace-Spaces-blue?logo=huggingface)](https://huggingface.co/spaces/your-username/object-detection-demo)  
+[![Gradio UI](https://img.shields.io/badge/Gradio-5.31.0-green?logo=gradio)](https://gradio.app)  
+[![Model](https://img.shields.io/badge/Model-DETR--ResNet50-yellow)](https://huggingface.co/facebook/detr-resnet-50)  
+[![License](https://img.shields.io/badge/License-MIT-lightgrey)](LICENSE)  
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+
+## 🚀 Overview  
+Experience **real-time, Transformer-powered object detection** entirely on CPU.  
+Upload any image and instantly see **bounding boxes**, **labels**, and **confidence scores**—all wrapped in a sleek Gradio interface.
+
+> **Core technologies:**  
+> • **DETR** (DEtection TRansformer) for end-to-end CV pipelines  
+> • **Hugging Face Transformers** for model orchestration  
+> • **Gradio Blocks** for interactive web UI  
+> • **Pillow (PIL)** for image annotation  
+
+---
+
+## ✨ Key Features
+
+| 🔑 Feature                 | 🔍 Description                                                |
+|----------------------------|--------------------------------------------------------------|
+| **⚡ Transformer CV**       | Uses DETR + ResNet-50 backbone for state-of-the-art accuracy |
+| **🕒 Real-Time Inference**  | Sub-second CPU performance on typical images                |
+| **🎨 Annotated Output**     | Red boxes + text overlays for clear visual feedback         |
+| **📊 Detection Table**      | Interactive DataFrame of labels & confidence scores         |
+| **☁️ Cloud-Native Deploy**  | One-click deploy on free Hugging Face Spaces                |
+| **🔧 Modular Architecture** | Swap models or add filters with minimal code changes        |
+
+---
+
+## 🏗️ Architecture & Workflow
+
+1. **Image Upload**  
+   User drops in any JPEG/PNG.  
+2. **DETR Pipeline**  
+   `pipeline("object-detection", model="facebook/detr-resnet-50")`  
+3. **Post-processing**  
+   Draws bounding boxes + labels via PIL.  
+4. **UI Rendering**  
+   Gradio displays the annotated image and a label/score table.
+
+---
+
+## 🛠️ Quick Start (Local)
+
+```bash
+git clone https://github.com/your-username/object-detection-demo.git
+cd object-detection-demo
+python3 -m venv venv && source venv/bin/activate
+pip install -r requirements.txt
+python app.py