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Requirements

  • Python 3.9+
  • OpenAI API key
  • Ngrok

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Installation

# Clone the repository
git clone https://github.com/vocera-ai/llm-websocket-server-example.git

# Enter into the directory
cd llm-websocket-server-example/

# Create virtual environment
python3 -m venv .venv

# Activate virtual environment
source .venv/bin/activate

# Install the dependencies
pip install -r requirements.txt
Update OpenAI API key and prompt in main.py 
...

api_key = 'YOUR-OPENAI-API-KEY'

...

SYSTEM_PROMPT = {
    "role": "system",
    "content": """Your system prompt"""
}

...

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Starting the application

python main.py

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Serving LLM Websocket Server Over Internet

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Installing ngrok

Please refer: https://dashboard.ngrok.com/get-started/setup/linux 
# Install ngrok
curl -sSL https://ngrok-agent.s3.amazonaws.com/ngrok.asc \
	| sudo tee /etc/apt/trusted.gpg.d/ngrok.asc >/dev/null \
	&& echo "deb https://ngrok-agent.s3.amazonaws.com buster main" \
	| sudo tee /etc/apt/sources.list.d/ngrok.list \
	&& sudo apt update \
	&& sudo apt install ngrok

# Authenticate
# get your token from: https://dashboard.ngrok.com/get-started/your-authtoken
ngrok config add-authtoken <your-token>

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Forwarding port

ngrok http 127.0.0.1:8765