Add application file

app.py

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+import gradio as gr
+import cv2
+import numpy as np
+from PIL import Image
+from retinaface import RetinaFace
+
+
+def detect_and_blur_faces(image):
+
+    resp = RetinaFace.detect_faces(image)
+
+    output_image = image.copy()
+
+
+    for i in range(len(resp)):
+
+        [x, y, w, h] = resp[f'face_{i+1}']['facial_area']
+
+        # Blur the detected face.
+        face = output_image[y:h, x:w]
+        blurred_face = cv2.GaussianBlur(face, (99, 99), 30)
+        output_image[y:h, x:w] = blurred_face
+
+    return output_image
+
+
+# Set up the Gradio interface.
+image_input = gr.inputs.Image(shape=(None, None))
+image_output = gr.outputs.Image(type='numpy')
+
+gr.Interface(fn=detect_and_blur_faces, inputs=image_input, outputs=image_output, title="Face Detection and Blurring").launch()

requirements.txt

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+gradio
+opencv-python-headless
+numpy
+pillow
+retinaface