From 3f5d37db38e0141ce5c6dcde3daecd7a42ac5f18 Mon Sep 17 00:00:00 2001
From: mirivlad <mirivlad@mirv.top>
Date: Thu, 19 Mar 2026 00:02:20 +0800
Subject: [PATCH] =?UTF-8?q?Fix:=20=D0=BF=D0=BE=D0=B4=D0=B0=D0=B2=D0=BB?=
 =?UTF-8?q?=D0=B5=D0=BD=D0=B8=D0=B5=20=D0=BB=D0=BE=D0=B3=D0=BE=D0=B2=20Vos?=
 =?UTF-8?q?kAPI=20=D0=BF=D1=80=D0=B8=20=D0=B7=D0=B0=D0=B3=D1=80=D1=83?=
 =?UTF-8?q?=D0=B7=D0=BA=D0=B5=20=D0=BC=D0=BE=D0=B4=D0=B5=D0=BB=D0=B8?=
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- KALDI_VERBOSITY=0 для отключения логирования
- Перенаправление stderr во время загрузки модели
- Логи Kaldi больше не засоряют вывод

Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
---
 src/speech/speech.py | 18 +++++++++++++-----
 1 file changed, 13 insertions(+), 5 deletions(-)

diff --git a/src/speech/speech.py b/src/speech/speech.py
index cce31b4..253503d 100644
--- a/src/speech/speech.py
+++ b/src/speech/speech.py
@@ -16,19 +16,20 @@ class SpeechRecognizer:
         self.model_name = settings.stt_model
         self.model = None
         self.recognizer = None
-    
+        
+        # Отключаем логирование VoskAPI/Kaldi
+        os.environ["KALDI_VERBOSITY"] = "0"
+
     def load_model(self):
         if not self.enabled:
             return
 
-        # Отключаем логирование VoskAPI чтобы не засорять логи
-        import logging as py_logging
-        py_logging.getLogger("VoskAPI").setLevel(py_logging.ERROR)
-
         try:
             if self.model_name == "vosk":
                 from vosk import Model, KaldiRecognizer
                 import json
+                import sys
+                import io
 
                 # Путь к модели в папке проекта
                 model_path = "./models/vosk/vosk-model-ru-0.22"
@@ -36,7 +37,14 @@ class SpeechRecognizer:
                     logger.error(f"Модель Vosk не найдена по пути {model_path}")
                     return
 
+                # Временно отключаем stderr для подавления логов Kaldi
+                old_stderr = sys.stderr
+                sys.stderr = io.StringIO()
+                
                 self.model = Model(model_path)
+                
+                # Восстанавливаем stderr
+                sys.stderr = old_stderr
 
             elif self.model_name == "whisper":
                 from faster_whisper import WhisperModel