add OMP_NUM_THREADS

docker-compose.yml

@@ -7,6 +7,7 @@ services:
       - ASR_MODEL=large-v3
      #- ASR_ENGINE=openai_whisper
       - ASR_ENGINE=faster_whisper
+      - OMP_NUM_THREADS=10
     ports:
       - "127.0.0.1:9000:9000"
     volumes:
@@ -14,7 +15,7 @@ services:
       - cache-pip:/root/.cache/pip
       - cache-poetry:/root/.cache/poetry
       - cache-whisper:/root/.cache/whisper
-    entrypoint: ["gunicorn", "--bind", "0.0.0.0:9000", "--workers", "10", "--timeout", "0", "app.webservice:app", "-k", "uvicorn.workers.UvicornWorker"]
+    #entrypoint: ["gunicorn", "--bind", "0.0.0.0:9000", "--workers", "10", "--timeout", "0", "app.webservice:app", "-k", "uvicorn.workers.UvicornWorker"]
 
 volumes:
   cache-pip:

whisper.py

@@ -19,12 +19,11 @@ def audio_callback_closure(client: AsyncClient):
         response = requests.post('http://127.0.0.1:9000/asr?encode=true&task=transcribe&word_timestamps=false&output=txt', files=files)
         print("Finished transcribing")
         room_id = room.room_id
-        sent_message = await client.room_send(
+        await client.room_send(
             room_id=room_id,
             message_type="m.room.message",
             content={"msgtype": "m.text", "body": response.content.decode()},
         )
-        print(sent_message)
     return audio_callback