Update app.py

app.py

@@ -1,4 +1,3 @@
-import spaces
 import gradio as gr
 import cv2
 import numpy as np
@@ -7,8 +6,6 @@ import torch
 from PIL import Image
 import torch.nn.functional as F
 from facenet_pytorch import MTCNN
-import tempfile
-import os
 import matplotlib.pyplot as plt
 
 # Global variables
@@ -21,7 +18,6 @@ current_model_name = "ViT-B/32"
 # Initialize MTCNN for face detection
 mtcnn = MTCNN(keep_all=False, device=device, thresholds=[0.95, 0.95, 0.95], min_face_size=80)
 
-@spaces.GPU(duration=250)
 def process_frame(frame, selected_model):
     global model, preprocess, current_model_name
     
@@ -105,7 +101,6 @@ def process_frame(frame, selected_model):
         print(f"An error occurred: {str(e)}")
         return frame
 
-@spaces.GPU(duration=250)
 def process_video(input_video, selected_model, frame_index):
     try:
         cap = cv2.VideoCapture(input_video)