Update app.py

app.py

@@ -242,7 +242,7 @@ def translate_from_video(video, WHISPER_MODEL_SIZE, batch_size, compute_type,
     os.system(f"rm {mix_audio}")
     #os.system(f'''ffmpeg -i {audio_wav} -i audio_dub_stereo.wav -filter_complex "[1:a]asplit=2[sc][mix];[0:a][sc]sidechaincompress=threshold=0.003:ratio=20[bg]; [bg][mix]amerge[final]" -map [final] {mix_audio}''')
     #os.system(f'ffmpeg -y -i {audio_wav} -i audio_dub_stereo.wav -filter_complex "[0:0][1:0] amix=inputs=2:duration=longest" -c:a libmp3lame {mix_audio}')
-    os.system(f'ffmpeg -y -i audio.wav -i audio_dub_stereo.wav -filter_complex "[0:0]volume=0.20[a];[1:0]volume=1.85[b];[a][b]amix=inputs=2:duration=longest" -c:a libmp3lame {mix_audio}')
+    os.system(f'ffmpeg -y -i audio.wav -i audio_dub_stereo.wav -filter_complex "[0:0]volume=0.15[a];[1:0]volume=1.90[b];[a][b]amix=inputs=2:duration=longest" -c:a libmp3lame {mix_audio}')
                              
     os.system(f"rm {video_output}")
     os.system(f"ffmpeg -i {OutputFile} -i {mix_audio} -c:v copy -c:a copy -map 0:v -map 1:a -shortest {video_output}")
@@ -274,7 +274,10 @@ sys.stdout = Logger("output.log")
 def read_logs():
     sys.stdout.flush()
     with open("output.log", "r") as f:
-        return f.read()
+        if f.read()[:17] == "Model was trained"
+            return f.read()
+        else:
+            return "."
 
 
 with gr.Blocks() as demo: