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54 lines
1.3 KiB
54 lines
1.3 KiB
### SETTINGS
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# If ALL_LOCAL is False, we'll use OpenAI's services
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# If setting ALL_LOCAL to true, set the path to the WHISPER local model
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export ALL_LOCAL=False
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# export WHISPER_MODEL_PATH=...
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# export OPENAI_API_KEY=sk-...
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# If SERVER_START, this is where we'll serve the server.
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# If DEVICE_START, this is where the device expects the server to be.
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export SERVER_URL=ws://localhost:8000/
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export SERVER_START=True
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export DEVICE_START=True
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# Control where various operations happen— can be `device` or `server`.
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export CODE_RUNNER=server
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export TTS_RUNNER=server # If device, audio will be sent over websocket.
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export STT_RUNNER=device # If server, audio will be sent over websocket.
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# Will expose the server publically and display that URL.
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export SERVER_EXPOSE_PUBLICALLY=False
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### SETUP
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# (for dev, reset the ports we were using)
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SERVER_PORT=$(echo $SERVER_URL | grep -oE "[0-9]+")
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if [ -n "$SERVER_PORT" ]; then
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lsof -ti tcp:$SERVER_PORT | xargs kill
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fi
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### START
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# DEVICE
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if [[ "$DEVICE_START" == "True" ]]; then
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python device.py &
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fi
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# SERVER
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if [[ "$SERVER_START" == "True" ]]; then
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python server.py &
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fi
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# TTS, STT
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# (todo)
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# (i think we should start with hosted services)
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# LLM
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# (disabled, we'll start with hosted services)
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# python core/llm/start.py & |