ChangedBackToWhisperV3

Co-authored-by: Copilot <copilot@github.com>

Dockerfile

@@ -2,13 +2,13 @@ FROM python:3.11-slim
 
 ENV PYTHONUNBUFFERED=1 PIP_NO_CACHE_DIR=1 HOME=/home/user \
     PATH=/home/user/.local/bin:$PATH PORT=7860 \
-    WHISPER_MODEL=deepdml/faster-whisper-large-v3-turbo-ct2 \
+    WHISPER_MODEL=deepdml/faster-whisper-large-v3-ct2 \
     OMP_NUM_THREADS=2 OPENBLAS_NUM_THREADS=2 \
     TOKENIZERS_PARALLELISM=false \
     WHISPER_CPU_THREADS=2 WHISPER_NUM_BEAMS=1 \
     WHISPER_VAD_FILTER=0 WHISPER_PRELOAD_ON_START=1 \
     WHISPER_BACKEND=auto WHISPER_REMOTE_PROVIDER=hf-inference \
-    WHISPER_REMOTE_MODEL=openai/whisper-large-v3-turbo \
+    WHISPER_REMOTE_MODEL=openai/whisper-large-v3 \
     WHISPER_REMOTE_TIMEOUT=15 WHISPER_PREPROCESS_AUDIO=1
 
 RUN apt-get update && apt-get install -y --no-install-recommends ffmpeg \

app.py

@@ -286,7 +286,7 @@ def transcribe_audio_remote(audio_path: str) -> tuple[str, float]:
     """Транскрибирует аудио через HF Inference."""
     started = time.time()
     client = get_hf_asr_client()
-    model_id = os.getenv("WHISPER_REMOTE_MODEL", "openai/whisper-large-v3-turbo")
+    model_id = os.getenv("WHISPER_REMOTE_MODEL", "openai/whisper-large-v3")
 
     result = client.automatic_speech_recognition(audio=audio_path, model=model_id)
     text = (getattr(result, "text", None) or "").strip()
@@ -328,7 +328,7 @@ def get_whisper_model() -> Any:
     if _WHISPER_MODEL is None:
         from faster_whisper import WhisperModel
 
-        model_id = os.getenv("WHISPER_MODEL", "deepdml/faster-whisper-large-v3-turbo-ct2")
+        model_id = os.getenv("WHISPER_MODEL", "deepdml/faster-whisper-large-v3-ct2")
         cpu_threads = max(1, int(os.getenv("WHISPER_CPU_THREADS", "2")))
 
         _WHISPER_MODEL = WhisperModel(