add OMP_NUM_THREADS
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2 changed files with 3 additions and 3 deletions
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@ -7,6 +7,7 @@ services:
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- ASR_MODEL=large-v3
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- ASR_MODEL=large-v3
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#- ASR_ENGINE=openai_whisper
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#- ASR_ENGINE=openai_whisper
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- ASR_ENGINE=faster_whisper
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- ASR_ENGINE=faster_whisper
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- OMP_NUM_THREADS=10
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ports:
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ports:
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- "127.0.0.1:9000:9000"
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- "127.0.0.1:9000:9000"
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volumes:
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volumes:
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@ -14,7 +15,7 @@ services:
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- cache-pip:/root/.cache/pip
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- cache-pip:/root/.cache/pip
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- cache-poetry:/root/.cache/poetry
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- cache-poetry:/root/.cache/poetry
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- cache-whisper:/root/.cache/whisper
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- cache-whisper:/root/.cache/whisper
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entrypoint: ["gunicorn", "--bind", "0.0.0.0:9000", "--workers", "10", "--timeout", "0", "app.webservice:app", "-k", "uvicorn.workers.UvicornWorker"]
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#entrypoint: ["gunicorn", "--bind", "0.0.0.0:9000", "--workers", "10", "--timeout", "0", "app.webservice:app", "-k", "uvicorn.workers.UvicornWorker"]
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volumes:
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volumes:
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cache-pip:
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cache-pip:
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@ -19,12 +19,11 @@ def audio_callback_closure(client: AsyncClient):
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response = requests.post('http://127.0.0.1:9000/asr?encode=true&task=transcribe&word_timestamps=false&output=txt', files=files)
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response = requests.post('http://127.0.0.1:9000/asr?encode=true&task=transcribe&word_timestamps=false&output=txt', files=files)
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print("Finished transcribing")
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print("Finished transcribing")
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room_id = room.room_id
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room_id = room.room_id
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sent_message = await client.room_send(
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await client.room_send(
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room_id=room_id,
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room_id=room_id,
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message_type="m.room.message",
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message_type="m.room.message",
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content={"msgtype": "m.text", "body": response.content.decode()},
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content={"msgtype": "m.text", "body": response.content.decode()},
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)
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)
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print(sent_message)
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return audio_callback
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return audio_callback
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