Improve online ASR processor

whisperlivekit/local_agreement/online_asr.py

@@ -262,9 +262,6 @@ class OnlineASRProcessor:
         logger.debug(
             f"Length of audio buffer now: {len(self.audio_buffer)/self.SAMPLING_RATE:.2f} seconds"
         )
-        if self.global_time_offset:
-            for token in committed_tokens:
-                token = token.with_offset(self.global_time_offset)
         return committed_tokens, current_audio_processed_upto
 
     def chunk_completed_sentence(self):
@@ -367,7 +364,7 @@ class OnlineASRProcessor:
         if self.tokenize:
             try:
                 sentence_texts = self.tokenize(full_text)
-            except Exception as e:
+            except Exception:
                 # Some tokenizers (e.g., MosesSentenceSplitter) expect a list input.
                 try:
                     sentence_texts = self.tokenize([full_text])

whisperlivekit/local_agreement/whisper_online.py

@@ -3,8 +3,7 @@ import logging
 import platform
 import time
 
-from whisperlivekit.backend_support import (faster_backend_available,
-                                            mlx_backend_available)
+from whisperlivekit.backend_support import faster_backend_available, mlx_backend_available
 from whisperlivekit.model_paths import detect_model_format, resolve_model_path
 from whisperlivekit.warmup import warmup_asr