Update README.md

README.md

@@ -1,80 +1,13 @@
-# 🚘 License Plate Detection & Refinement
-
-A **Streamlit-based application** for detecting and refining license plate images using **YOLO for detection** and **OpenCV for image enhancements**.
-
-[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](your-streamlit-app-link)
-
 ---
-
-## 🔧 Features
-
-### **🚘 Real-Time License Plate Detection**
-- Upload an **image** or **video**, or use a **webcam** for real-time detection.
-- Uses **YOLOv11** for accurate license plate detection.
-- Extracts text using **EasyOCR**.
-- Displays detected plates in a structured table.
-
-### **🛠 Refine Image for Detection**
-- Upload an image and apply **pre-processing techniques** to enhance detection.
-- Select from detected license plates to refine specific sections.
-- **Image enhancement options:**
-  - **Noise Reduction** (Bilateral & Non-Local Means Denoising)
-  - **Sharpening** (Enhances edges for better OCR accuracy)
-  - **Grayscale Conversion** (Improves contrast)
-  - **Adaptive Thresholding** (Dynamic brightness adjustment)
-  - **Edge Detection** (Canny filter for better boundary detection)
-  - **Invert Colors** (Helpful for light text on dark backgrounds)
-  - **Auto Enhancement** (Applies recommended adjustments automatically)
-  - **Gamma Correction, CLAHE, Histogram Equalization, Scaling, Blur, Contrast & Brightness adjustments**
-
+title: License Plate Detection System
+emoji: 🚘
+colorFrom: blue
+colorTo: gray
+sdk: streamlit
+sdk_version: 1.43.2
+app_file: app.py
+pinned: false
+license: apache-2.0
 ---
 
-## 📌 How to Run Locally
-
-### **1️⃣ Install dependencies**
-```sh
-pip install -r requirements.txt
-```
-
-### **2️⃣ Run the application**
-```sh
-streamlit run app.py
-```
-
----
-
-## 📁 Project Structure
-```
-📂 License-Plate-Detection
-│── app.py                 # Main navigation & home page
-│── pages/
-│   ├── detect.py          # License plate detection module
-│   ├── refine.py          # Image enhancement module
-│── requirements.txt       # Required Python packages
-│── README.md              # Project documentation
-```
-
----
-
-## 🚀 Deployment
-You can deploy this app on **Streamlit Cloud** or **Hugging Face Spaces**:
-
-1. **Fork & Push to GitHub**
-2. **Deploy via Streamlit Sharing / Hugging Face Spaces**
-
-[![Deploy on Hugging Face](https://huggingface.co/datasets/huggingface/badges/resolve/main/hf-badge-open.svg)](your-huggingface-link)
-
----
-
-## 📌 Future Enhancements
-- **Real-time tracking of license plates**.
-- **OCR post-processing to correct errors**.
-- **Additional denoising & image restoration techniques**.
-
----
-
-## 📝 License
-This project is **open-source** under the **MIT License**. Feel free to modify and improve it!
-
-🌟 If you like this project, don’t forget to **star the repository**!
-
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference