Add script to deploy and configure voice feature in GCP VM
--- For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/OpenInterpreter/01?shareId=XXXX-XXXX-XXXX-XXXX).
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#!/bin/bash
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# Update and install necessary dependencies
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sudo apt-get update
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sudo apt-get install -y python3-pip python3-venv ffmpeg
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# Create a virtual environment
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python3 -m venv venv
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source venv/bin/activate
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# Install required Python packages
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pip install poetry
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# Clone the repository if not already cloned
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if [ ! -d "01" ]; then
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git clone https://github.com/OpenInterpreter/01.git
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fi
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cd 01/software
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# Install project dependencies
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poetry install
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# Set up environment variables for the voice feature
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echo "export OPENAI_API_KEY='your_openai_api_key'" >> ~/.bashrc
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echo "export ELEVENLABS_API_KEY='your_elevenlabs_api_key'" >> ~/.bashrc
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echo "export DEEPGRAM_API_KEY='your_deepgram_api_key'" >> ~/.bashrc
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source ~/.bashrc
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# Start the server with the voice feature enabled
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poetry run 01 --server light --expose --qr
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@ -141,3 +141,19 @@ interpreter.tts = "coqui"
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introducing all-local functionality for the Livekit server as soon as
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possible.
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</Note>
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### Deploy and Configure Voice Feature in GCP VM
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To deploy and configure the voice feature in a GCP VM where Open Interpreter is already installed, you can use the provided `deploy_voice_feature.sh` script. This script automates the entire process, including installing necessary dependencies, setting up environment variables, and starting the server with the voice feature enabled.
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1. Download the `deploy_voice_feature.sh` script to your GCP VM.
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2. Make the script executable:
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```bash
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chmod +x deploy_voice_feature.sh
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```
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3. Run the script:
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```bash
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./deploy_voice_feature.sh
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```
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The script will handle the installation of dependencies, configuration of environment variables, and starting the server with the voice feature enabled using the OpenAI Realtime Voice API.
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