Create main.py

main.py

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+!pip install gradio
+
+import cv2
+import gradio as gr
+
+
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+
+def detect_faces(frame):
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
+    print(f"Detected {len(faces)} faces")
+    return len(faces)
+
+import gradio as gr
+
+camera = cv2.VideoCapture(0)
+
+def detect_faces_in_video():
+    success, frame = camera.read()
+    if success:
+        num_faces = detect_faces(frame)
+        return int(num_faces)
+    else:
+        return None
+
+iface = gr.Interface(fn=detect_faces_in_video, inputs=None, outputs="number", title="Webcam Face Detection")
+iface.launch()