Update app.py

app.py

@@ -125,7 +125,7 @@ def handle_feedback(feedback):
             conn.commit()
         return "Thank you for your feedback!", None
 
-def segment_background_audio(audio_path, segment_audio_path="background_segments.wav"):
+def segment_background_audio(audio_path, background_audio_path="background_segments.wav"):
     
     """
     Detects and extracts non-speech (background) segments from audio using pyannote VAD.
@@ -171,8 +171,8 @@ def segment_background_audio(audio_path, segment_audio_path="background_segments
         non_speech_audio += segment
 
     # Step 6: Export the non-speech audio
-    non_speech_audio.export(segment_audio_path, format="wav")
-    print(f"🎵 Non-speech audio saved to: {segment_audio_path}")
+    non_speech_audio.export(background_audio_path, format="wav")
+    print(f"🎵 Non-speech audio saved to: {background_audio_path}")
 
     return background_segments
 
@@ -454,7 +454,7 @@ def process_entry(entry, i, tts_model, video_width, video_height, process_mode,
 
     return i, txt_clip, audio_segment, error_message
     
-def add_transcript_voiceover(video_path, translated_json, output_path, process_mode, target_language="en", speaker_sample_paths=None, use_clone=False):
+def add_transcript_voiceover(video_path, translated_json, output_path, process_mode, target_language="en", speaker_sample_paths=None, background_audio_path="background_segments.wav"):
     video = VideoFileClip(video_path)
     font_path = "./NotoSansSC-Regular.ttf"