Update face_analyser.py

face_analyser.py

@@ -32,7 +32,6 @@ swap_options_list = [
     "Smallest",
 ]
 
-@spaces.GPU(enable_queue=True)
 def get_single_face(faces, method="best detection"):
     total_faces = len(faces)
     if total_faces == 1:
@@ -59,7 +58,7 @@ def get_single_face(faces, method="best detection"):
         return sorted(faces, key=lambda face: (face["bbox"][2] - face["bbox"][0]) * (face["bbox"][3] - face["bbox"][1]))[0]
 
 
-@spaces.GPU(enable_queue=True)
+
 def analyse_face(image, model, return_single_face=True, detect_condition="best detection", scale=1.0):
     faces = model.get(image)
     if scale != 1: # landmark-scale
@@ -81,7 +80,7 @@ def cosine_distance(a, b):
     return 1 - np.dot(a, b)
 
 
-@spaces.GPU(enable_queue=True)
+
 def get_analysed_data(face_analyser, image_sequence, source_data, swap_condition="All face", detect_condition="left most", scale=1.0):
     if swap_condition != "Specific Face":
         source_path, age = source_data