AI Copilot with VideoSDK & Deepgram

This project is an AI Voice Agent that uses VideoSDK for video conferencing, Deepgram for speech-to-text (STT), and OpenAI for language model (LLM) capabilities. The AI Copilot can join meetings, transcribe speech, and respond intelligently.

Start with the project

git clone https://github.com/videosdk-community/videosdk-deepgram-voice-agent

cd videosdk-deepgram-voice-agent

Client Setup

1. Navigate to client dir:

   cd client

2. Make a copy of the environment configuration file:

   cp .env.example .env

3. Set the VITE_APP_AUTH_TOKEN in the .env file with your VideoSDK auth token from app.videosdk.live.

Python Setup

1. Configure the following environment variables in the .env file:

   ROOM_ID=...
   AUTH_TOKEN=...  # (app.videosdk.live)
   LANGUAGE=...
   
   DEEPGRAM_API_KEY=...  # (console.deepgram.com)
   LLM_API_KEY=...  # (platform.openai.com/api-keys)

2. Create a virtual environment:

   python -m venv venv

3. Activate the virtual environment:

   • On Unix or MacOS:

     source venv/bin/activate

   • On Windows:

     .\venv\Scripts\activate

Generate a Room ID

Generate a room ID on the client side and add it to the Python configuration. This can be done by running the client application and using the generated room ID in the .env file for the Python setup.

For more information, check out docs.videosdk.live.