Update README.md

README.md

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-title: Laser Bend Angle Measurement
+---
+title: Angle Measurement v2
 sdk: gradio
-colorFrom: purple
-colorTo: indigo
-pinned: false
+sdk_version : 4.0.0
+app_file : angle_detection_app.py
+colorFrom: indigo
+colorTo: gray
+pinned: true
+---
+# Angle Detection App
+
+This app detects bends in images and measures angles between them. It's particularly useful for analyzing geometric patterns and measuring angles in technical drawings or diagrams.
+
+## Features
+
+- Upload images in various formats (JPEG, PNG, HEIC)
+- Automatic bend detection
+- Angle measurement between bends
+- Adjustable parameters for fine-tuning detection
+- Real-time visualization with bend points and angle measurements
+
+## Usage
+
+1. Upload an image using the file uploader
+2. Adjust the algorithm parameters if needed:
+   - Blur Kernel Size: Controls image smoothing
+   - Canny Thresholds: Edge detection sensitivity
+   - Dilation Kernel Size: Edge thickening
+   - Hough Threshold: Line detection sensitivity
+   - Line Length/Gap: Minimum line length and maximum gap between line segments
+   - Bend Threshold: Distance threshold for bend detection
+3. Click "Process Image" to analyze the image
+4. View the results with detected bends and measured angles
+
+## Example Images
+
+The app includes example images to help you get started. Try them out to see how the angle detection works with different types of images.
+
+## Technical Details
+
+The app uses OpenCV for image processing and edge detection, with the following main steps:
+1. Image preprocessing (grayscale conversion and blur)
+2. Edge detection using Canny algorithm
+3. Line detection using Hough transform
+4. Bend point identification
+5. Angle calculation between consecutive bends
+
+## Local Deployment
+
+1. Install dependencies:
+```bash
+pip install -r requirements.txt
+```
+
+2. Run the app:
+```bash
+python angle_detection_app.py
+```
+
+3. Open your browser and navigate to the URL shown in the terminal (typically http://127.0.0.1:7860)
+
+## Hugging Face Spaces Deployment
+
+1. Create a new Space on Hugging Face:
+   - Go to https://huggingface.co/spaces
+   - Click "New Space"
+   - Choose "Gradio" as the SDK
+   - Give your space a name
+
+2. Push your code to the Space:
+```bash
+git clone https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME
+cd YOUR_SPACE_NAME
+# Copy your files here
+git add .
+git commit -m "Initial commit"
+git push
+```
+
+## Docker Deployment
+
+1. Build the Docker image:
+```bash
+docker build -t angle-detection-app .
+```
+
+2. Run the container:
+```bash
+docker run -p 7860:7860 angle-detection-app
+```
+
+3. Access the app at http://localhost:7860
+
+## Requirements
+
+- Python 3.8+
+- See requirements.txt for Python package dependencies