Update README.md

README.md

@@ -11,3 +11,69 @@ license: artistic-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+---
+
+---
+title: Try
+emoji: 🔥
+colorFrom: pink
+colorTo: gray
+sdk: gradio
+sdk_version: 4.14.0
+app_file: app.py
+pinned: false
+license: artistic-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+
+# Christmas
+
+# Image Processor
+
+## Overview
+
+The `ImageProcessor` class is designed to overlay graphical gadgets on detected faces in an image. Using a facial detection model, it identifies faces and relevant keypoints (like the nose) and overlays pre-defined gadgets (like hats or other accessories) at appropriate positions on the face.
+
+## Dependencies
+
+- Python 3.x
+- OpenCV (`cv2`)
+- NumPy
+- MediaPipe
+
+To install these dependencies, run:
+
+```bash
+pip install numpy opencv-python mediapipe
+```
+
+
+## Setup
+
+Ensure all dependencies are installed.
+Place the ImageProcessor script in your project directory.
+Download the gadgets folder. You can add your own. Please make sure you adapt the code if you are doing so. The code is not super robust yet.
+
+```bash
+from prototype import ImageProcessor
+
+import cv2
+import mediapipe
+
+# Load your image
+image = cv2.imread('/path/to/your/image.jpg')
+
+# Specify the folder containing your gadgets
+folder_path = 'gadgets/'
+
+model = mediapipe.solutions.face_detection.FaceDetection(model_selection=1, min_detection_confidence=0.8)
+
+# Create an instance of the ImageProcessor
+processor = ImageProcessor(image, folder_path, model)
+processor.detect_and_overlay(write = True, output = "my_edited_image")
+```
+
+