use large-v3-turbo

README.md

@@ -11,12 +11,13 @@ add "transcribe" to LOCAL_APPS in local_setttings.py
 
 ## install whisper_timestamped
 
+    apt install portaudio19-dev
     python3 -m venv venv /opt/whisper-timestamped/
     /opt/whisper-timestamped/bin/pip install \
      torch==1.13.1+cpu \
      torchaudio==0.13.1+cpu \
      -f https://download.pytorch.org/whl/torch_stable.html
-    /opt/whisper-timestamped/bin/pip install whisper-timestamped
+    /opt/whisper-timestamped/bin/pip install whisper-timestamped transformers auditok
 
 ## configuration
 

run_whisper.py

@@ -7,7 +7,7 @@ import whisper_timestamped as whisper
 
 
 def transcribe(path, language=None, translate=None):
-    model = whisper.load_model("turbo")
+    model = whisper.load_model("large-v3-turbo")
     audio = whisper.load_audio(path)
     if translate:
         task = "translate"

transcribe.py

@@ -118,7 +118,7 @@ def extract_subtitles(item, user, layer, translate, gpu=False, join_sentences=Fa
     cmd += [src, output]
 
     try:
-        subprocess.check_output(cmd)
+        subprocess.check_call(cmd)
     except:
         logger.error(
             "failed to extract subtitles from item %s\n%s", item.public_id, cmd