How to Integrate a Customized GPT into UE5 VR Project?

Development Programming & Scripting Blueprint
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Integrating a customized GPT (under MyGPTs) into an Unreal Engine 5 VR project for real-time interaction can be broken down into several key components:

1. Connecting GPT with Unreal Engine

  • REST API Approach:
    OpenAI provides an API for GPT models. You can send requests from Unreal Engine using:
    • UE5’s HTTP module (FHttpModule) to send/receive data.
    • Blueprints (WebSocket or HTTP Requests) if you prefer a no-code approach.
    • Python Plugin for UE to communicate with the OpenAI API.
  • Local Model (Optional):
    If you want to run a local LLM (e.g., Llama, Mistral), consider:
    • Running Ollama locally and using Unreal’s Python scripting for communication.
    • Using Socket.IO or ZeroMQ for faster interaction.

2. Handling Voice Input/Output

  • Speech-to-Text (Voice Input)
    • Use Windows Speech Recognition API or Google Cloud Speech-to-Text.
    • MetaSpeech Plugin for UE5 (supports real-time speech recognition).
    • Whisper API (OpenAI) for highly accurate transcription.
  • Text-to-Speech (Voice Output)
    • Unreal Engine supports Amazon Polly, Google TTS, or OpenAI’s TTS.
    • Use MetaVoice for expressive AI-driven voice synthesis.
    • UE5 Sound System: Convert TTS responses to in-game audio.

3. Triggering Unreal Engine Events from GPT Responses

  • Keyword Matching: Parse GPT responses and trigger actions based on keywords (e.g., “play music,” “open door”).
  • JSON Structured Responses: Ask GPT to output structured JSON (e.g., { "action": "play_animation", "name": "wave" }) and parse it in UE5.
  • Blueprint Integration:
    • Create an AI Controller that listens for GPT responses.
    • Use Gameplay Tags or Event Dispatchers to trigger animations.

Recommended Tools & Plugins

  • VA Plugin (Virtual Assistant) for UE5 – Handles voice interaction.
  • MetaHuman Speech SDK – Realistic speech synthesis for avatars.
  • Blueprint JSON Parser – Helps structure GPT responses for better integration.
  • WebSockets Plugin – For real-time communication with external AI services.

Example Workflow

  1. Player speaks into a VR microphone.
  2. Audio is converted to text using Whisper API.
  3. The text is sent to GPT API, which processes it.
  4. GPT’s response is:
  • Displayed as subtitles.
  • Converted to speech via TTS.
  • Parsed to trigger UE5 animations/music/etc..

Would you like code examples for any of these parts? :rocket: