👍️[Update] All : 不要なprintLogを削除 / なるべくtry exceptした場合にはerrorLogを保存するように変更

src-python/models/transcription/transcription_transcriber.py

@@ -3,6 +3,7 @@ from io import BytesIO
 from threading import Event
 import wave
 from speech_recognition import Recognizer, AudioData, AudioFile
+from speech_recognition.exceptions import UnknownValueError
 from datetime import timedelta
 from pyaudiowpatch import get_sample_size, paInt16
 from .transcription_languages import transcription_lang
@@ -11,6 +12,8 @@ from .transcription_whisper import getWhisperModel, checkWhisperWeight
 import torch
 import numpy as np
 from pydub import AudioSegment
+from utils import errorLogging
+
 import warnings
 warnings.simplefilter('ignore', RuntimeWarning)
 
@@ -74,9 +77,10 @@ class AudioTranscriber:
                         if s.avg_logprob < avg_logprob or s.no_speech_prob > no_speech_prob:
                             continue
                         text += s.text
-
-        except Exception:
+        except UnknownValueError:
             pass
+        except Exception:
+            errorLogging()
         finally:
             pass
 

src-python/models/transcription/transcription_whisper.py

@@ -4,7 +4,6 @@ from typing import Callable
 import huggingface_hub
 from faster_whisper import WhisperModel
 import logging
-from utils import printLog
 
 logger = logging.getLogger('faster_whisper')
 logger.setLevel(logging.CRITICAL)
@@ -40,10 +39,8 @@ def downloadFile(url, path, func=None):
                 if isinstance(func, Callable):
                     total_chunk += len(chunk)
                     func(total_chunk/file_size)
-                printLog(f"Downloading Whisper Model: {total_chunk/file_size:.0%}")
-
-    except Exception as e:
-        printLog("warning:downloadFile()", e)
+    except Exception:
+        pass
 
 def checkWhisperWeight(root, weight_type):
     path = os_path.join(root, "weights", "whisper", weight_type)