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中文 | English

Digital Human Sample Code

This directory contains complete sample code for two digital human application scenarios, helping developers quickly understand architecture design and implementation methods for different business scenarios.

Examples Directory

1. Digital Human Interactive Chat Example (digital-human-interactive-chat)

Application Scenarios: Intelligent customer service, virtual anchor interaction, education training, and other scenarios requiring real-time conversation

Core Functionality: Clients engage in real-time two-way interactive conversations with digital humans

Architecture Features:

  • Two-way Interaction: User speaks → ASR speech recognition → LLM generates response → TTS speech synthesis → Digital human responds in real-time
  • Dual-role Architecture: Client + Business backend
  • Real-time Communication: WebSocket-driven digital human, RTC streaming for audio/video playback

2. Digital Human Real-time Broadcasting Example (digital-human-real-time-broadcasting-scenario)

Application Scenarios: Shopping mall guides, airport/station announcements, elevator advertising screens, digital human live streaming, and other one-way broadcasting scenarios

Core Functionality: Orchestration end configures broadcast content, playback end streams and plays digital human audio/video

Architecture Features:

  • One-way Broadcasting: Orchestration end configures content → Business backend schedules driving → Playback end streams and plays
  • Three-party Architecture: Orchestration end (configuration) + Business backend (driving) + Playback end (playback)
  • Centralized Management: Supports multiple playback ends receiving the same broadcast content simultaneously

Architecture Comparison

Feature Interactive Chat Real-time Broadcasting
Interaction Mode Two-way real-time interaction One-way broadcasting
Role Architecture Dual-role (Client + Business backend) Three-role (Orchestration + Business backend + Playback)
Driving Method User speech triggers ASR→LLM→TTS Orchestration end configures content, scheduled driving
Applicable Scenarios Intelligent customer service, virtual anchor interaction, education training Shopping mall guides, airport announcements, advertising screens, live streaming
Communication Complexity Higher (requires real-time audio capture) Lower (text/audio driving only)

Quick Start

Each example directory contains complete business backend and client-side code for all platforms:

  • Business Backend: Node.js + Express, providing API interfaces and digital human driving logic
  • Web Clients: React / Vue examples, using ZEGO Express SDK for streaming playback
  • Mobile Clients: Android / iOS examples, using ZEGO Express SDK for streaming playback

For detailed integration guides, please refer to the README.md file in each example directory.