Update app.py

app.py

@@ -1,16 +1,33 @@
 import gradio as gr
+import cv2
 
-# A simple function to just display the live video feed
-def show_live_webcam(image):
-    return image
+# Load the pre-trained Haar Cascade classifier for face detection
+face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
 
-# Create a Gradio Interface for the webcam feed
+def detect_faces(image):
+    # Convert RGB image to OpenCV BGR format
+    img = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    
+    # Convert to grayscale for face detection
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+    # Perform face detection
+    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
+
+    # Draw rectangles around detected faces
+    for (x, y, w, h) in faces:
+        cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)
+
+    # Convert back to RGB for display
+    return cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+
+# Use gr.Video for webcam feed instead of gr.Image
 webcam_interface = gr.Interface(
-    fn=show_live_webcam,
-    inputs=gr.Image(source="webcam", streaming=True),
+    fn=detect_faces,
+    inputs=gr.Video(source="webcam", streaming=True),
     outputs="image",
-    title="Live Webcam Feed",
-    description="Displays the live feed from your webcam."
+    title="Live Webcam Face Detection",
+    description="Displays the live feed from your webcam and detects faces in real-time."
 )
 
 # Launch the Gradio app