Update app.py

app.py

@@ -7,8 +7,9 @@ face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_fronta
 
 # Face Detection Function
 def detect_faces(image_np):
+    img=np.array(gray_image)
     # Convert image to grayscale
-    gray_image = cv2.cvtColor(image_np, cv2.COLOR_RGB2GRAY)
+    gray_image = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
 
     # Detect faces
     faces = face_cascade.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
@@ -17,7 +18,7 @@ def detect_faces(image_np):
     for (x, y, w, h) in faces:
         cv2.rectangle(image_np, (x, y), (x + w, y + h), (0, 255, 0), 2)
 
-    return image_np
+    return img
 
 # Create Gradio Interface
 iface = gr.Interface(