Update app.py

app.py

@@ -28,17 +28,12 @@ def strip_silence(audio: AudioSegment, silence_thresh=-40, min_silence_len=100,
     end_trim = nonsilent[-1][1]
     # Add padding before and after the trimmed audio
     # Ensure the padding doesn't exceed the trimmed boundaries
-
     if not check1:
         silence_padding_ms=00
     start_trim = max(0, start_trim - silence_padding_ms)  # Ensure no negative start
     end_trim = min(len(audio), end_trim + silence_padding_ms)  # Ensure end doesn't go past audio length
     # Return the trimmed and padded audio
     # Debugging: print input arguments
-    print(f"Audio length: {len(audio)} ms")
-    print(f"Silence threshold: {silence_thresh} dB")
-    print(f"Minimum silence length: {min_silence_len} ms")
-    print(f"Silence padding: {silence_padding_ms} ms")
     print(f"Check1: {check1}**")
     return audio[start_trim:end_trim]
 
@@ -188,12 +183,12 @@ async def process_transcript_line(line, default_voice, rate, pitch):
                 check1 = False             # set it to False 
                 continue
             if process_next and part.strip():
-                #if part == split_parts[-1]: # check if this is laster iteration, 
-                #    check1 = False             # set it to False                
                 audio_path = await generate_audio_with_voice_prefix(part, default_voice, rate, pitch)
                 if audio_path:
                     audio_segments.append(audio_path)
             elif not process_next and part.strip():
+                if part == split_parts[-1]: # check if this is laster iteration, 
+                    check1 = True            # set it to True  
                 audio_path = await generate_audio_with_voice_prefix(part, default_voice, rate, pitch) # Process unquoted text with default voice
                 if audio_path:
                     audio_segments.append(audio_path)