RealtimeAgent over WebSockets

This project demonstrates how to create a voice assistant using Python, FastAPI, WebSockets, and an AG2 RealtimeAgent. The application streams audio from a browser to a FastAPI server and enables real-time voice communication with the RealtimeAgent.

Key Features

• WebSocket Audio Streaming: Direct real-time audio streaming between the browser and server.
• FastAPI Integration: A lightweight Python backend for handling WebSocket traffic.

Prerequisites

Before you begin, ensure you have the following:

• Python 3.9+: The project was tested with 3.9. Download here.
• An OpenAI account and an OpenAI API Key. You can sign up here.
  • OpenAI Realtime API access.

Local Setup

Follow these steps to set up the project locally:

1. Clone the Repository

git clone https://github.com/sternakt/RealtimeAgent-WebSocketAudioAdapter.git
cd RealtimeAgent-WebSocketAudioAdapter

2. Set Up Environment Variables

Create a OAI_CONFIG_LIST file based on the provided OAI_CONFIG_LIST_sample:

cp OAI_CONFIG_LIST_sample OAI_CONFIG_LIST

In the OAI_CONFIG_LIST file, update the api_key to your OpenAI API key.

(Optional) Create and use a virtual environment

To reduce cluttering your global Python environment on your machine, you can create a virtual environment. On your command line, enter:

python3 -m venv env
source env/bin/activate

3. Install Dependencies

Install the required Python packages using pip:

pip install -r requirements.txt

4. Start the Server

Run the application with Uvicorn:

uvicorn realtime_over_websockets.main:app --port 5050

Test the App

With the server running, open the client application in your browser by navigating to http://localhost:5050/start-chat/. Speak into your microphone, and the AI assistant will respond in real time.

License

This project is licensed under the MIT License.