Update app.py

app.py

@@ -118,7 +118,7 @@ def merge_frames():
   filenames.sort() # this iteration technique has no built in order, so sort the frames
   print(filenames)
   images = list(map(lambda filename: imageio.imread("/content/video_results/restored_imgs/"+filename), filenames))
-  os.system(f"rm -rf /content/video_output.mp4")
+  # os.system(f"rm -rf /content/video_output.mp4")
   imageio.mimsave('/content/video_output.mp4', images, fps=25.0) # modify the frame duration as needed
   return "/content/video_output.mp4"
 
@@ -127,7 +127,7 @@ def audio_video():
   input_video = ffmpeg.input('/content/video_output.mp4')
 
   input_audio = ffmpeg.input('/content/audio.wav')
-  os.system(f"rm -rf /content/final_output.mp4")
+  # os.system(f"rm -rf /content/final_output.mp4")
   ffmpeg.concat(input_video, input_audio, v=1, a=1).output('/content/final_output.mp4').run()
   
   return "/content/final_output.mp4"
@@ -155,7 +155,7 @@ def one_shot_talking(image_in,audio_in):
 
   #2. Improve image quality using GFPGAN on each frames
   os.system(f"rm -rf /content/extracted_frames/image_audio_frames")
-  os.system(f"rm -rf /content/video_results/")
+  # os.system(f"rm -rf /content/video_results/")
   os.system(f"python /content/GFPGAN/inference_gfpgan.py --upscale 2 -i /content/extracted_frames/image_audio_frames -o /content/video_results  --bg_upsampler realesrgan")
 
   #3. Merge all the frames to a one video using imageio