Update app.py

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 import os.path
+
 os.system("mkdir _input")
 os.system("mkdir _output")
 os.system("mkdir _outputf")
@@ -8,8 +9,10 @@ if not os.path.isfile("./_input/imagem-0001.png"):
     os.system("ffmpeg -i vivi.mp4   -compression_level 10 -pred mixed -pix_fmt rgb24 -sws_flags +accurate_rnd+full_chroma_int -s 1080x1920 -r 0.12 ./_input/imagem-%4d.png")
 
 os.system("ls ./_input") 
+if 'myVar' not in globals():
+    myVar=""
+    os.system("pip install git+https://github.com/TencentARC/GFPGAN.git")
 
-os.system("pip install git+https://github.com/TencentARC/GFPGAN.git")
 import cv2
 import glob
 import numpy as np
@@ -30,12 +33,14 @@ import torch
 # set up GFPGAN restorer
 bg_upsampler = None
 print(f"Is CUDA available: {torch.cuda.is_available()}")
-restorer = GFPGANer(
-    model_path='GFPGANv1.3.pth',
-    upscale=2,
-    arch='clean',
-    channel_multiplier=2,
-    bg_upsampler=bg_upsampler)
+if 'restorer' not in globals():
+    restorer = GFPGANer(
+        model_path='GFPGANv1.3.pth',
+        upscale=2,
+        arch='clean',
+        channel_multiplier=2,
+        bg_upsampler=bg_upsampler)
+
 
 img_list = sorted(glob.glob(os.path.join("./_input", '*')))