Update app.py

app.py

@@ -424,13 +424,14 @@ def process_entry(entry, i, tts_model, video_width, video_height, process_mode,
             desired_duration = entry["end"] - entry["start"]
             desired_speed = calibrated_speed(entry['translated'], desired_duration)
 
-            if use_clone:
-                speaker = entry.get("speaker", "default")
-                speaker_wav_path = f"speaker_{speaker}_sample.wav"
+            speaker = entry.get("speaker", "default")
+            speaker_wav_path = f"speaker_{speaker}_sample.wav"
+            
+            if use_clone and speaker_wav_path and os.path.exists(speaker_wav_path):
                 generate_voiceover_clone(entry['translated'], tts_model, desired_speed, target_language, speaker_wav_path, segment_audio_path)
 
             else:
-                generate_voiceover_OpenAI(entry['translated'], tts_model, desired_speed, target_language, speaker_wav_path, segment_audio_path)
+                generate_voiceover_OpenAI(entry['translated'], target_language, desired_speed, segment_audio_path)
 
             if not output_path or not os.path.exists(segment_audio_path):
                 raise FileNotFoundError(f"Voiceover file not generated at: {segment_audio_path}")
@@ -564,12 +565,8 @@ def generate_voiceover_OpenAI(full_text, language, desired_speed, output_audio_p
     if retry_count == max_retries:
         raise ValueError(f"Failed to generate voiceover after {max_retries} retries.")
 
-def generate_voiceover_clone(full_text, tts_model, desired_speed, target_language, speaker_wav_path, output_audio_path, use_clone=False):
+def generate_voiceover_clone(full_text, tts_model, desired_speed, target_language, speaker_wav_path, output_audio_path):
     try:
-        if not speaker_wav_path or not os.path.exists(speaker_wav_path):
-            msg = f"❌ Speaker audio not found: {speaker_wav_path}"
-            logger.error(msg)
-            return None, msg, msg
 
         tts_model.tts_to_file(
             text=full_text,
@@ -579,19 +576,13 @@ def generate_voiceover_clone(full_text, tts_model, desired_speed, target_languag
             speed=desired_speed,
             split_sentences=True
         )
-
-        if not os.path.exists(output_audio_path):
-            msg = f"❌ Voiceover file not generated at: {output_audio_path}"
-            logger.error(msg)
-            return None, msg, msg
-
         msg = "✅ Voice cloning completed successfully."
         logger.info(msg)
         return output_audio_path, msg, None
 
     except Exception as e:
-        err_msg = f"❌ An error occurred: {str(e)}"
-        logger.error("❌ Error during voice cloning:")
+        generate_voiceover_OpenAI(full_text, target_language, desired_speed, output_audio_path)
+        err_msg = f"❌ An error occurred: {str(e)}, fallback to premium voice"
         logger.error(traceback.format_exc())
         return None, err_msg, err_msg