
本页由 AI 翻译,技术细节请以原文为准。 查看原文
基于亚马逊Nova 2 Sonic和亚马逊Kinesis视频流WebRTC服务的示例语音代理应用。
概览
一个全面的语音转语音(S2S)WebRTC解决方案,集成了AWS Bedrock Nova 2 Sonic、Amazon Kinesis视频流与WebRTC以及实时音频/视频处理。 - : 使用亚马逊KVS WebRTC实现低延迟音频流 - : 与AWS Bedrock Nova Sonic集成,实现高级语音对语音功能 - : 在Windows、macOS和Linux上无缝运行 - : 优化适用于开发和生产环境 - : 独立的Python后端和React前端以提升灵活性 - 支持MCP(模型上下文协议)和Strands代理 该方案已经过以下具体版本的测试和验证: - : 3.12.x - : 1.26.4(通过 conda 作为 av 依赖安装) - : 11.0.0(通过 conda 安装用于 FFmpeg 链接) - : 1.6.0(通过 pip 安装并带依赖管理) - : 6.1.
概述(AI 翻译)
一个全面的语音转语音(S2S)WebRTC解决方案,集成了AWS Bedrock Nova 2 Sonic、Amazon Kinesis视频流与WebRTC以及实时音频/视频处理。
示例解法架构:
🚀 特色
能力
- 实时WebRTC通信:使用亚马逊KVS WebRTC实现低延迟音频流
- AI驱动语音处理:与AWS Bedrock Nova Sonic集成,实现高级语音转语音功能
- 跨平台支持:在Windows、macOS和Linux上无缝运行
- 生产准备:针对开发和生产环境都进行了优化
- 模块化架构:将Python后端和React前端分开以提升灵活性
- 代理集成:支持MCP(模型上下文协议)和Strands代理
📋 系统需求
测试配置
该方案已经过以下具体版本的测试和验证:
核心依赖:
- Python:3.12.x
- numpy:1.26.4(通过 conda 作为 AV 依赖安装)
- av(PyAV):11.0.0(通过conda安装用于FFmpeg链接)
- aiortc:1.6.0(通过依赖管理PIP安装)
- ffmpeg:6.1.2+(通过Conda安装)
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
Nova S2S WebRTC Workshop
A comprehensive Speech-to-Speech (S2S) WebRTC solution integrating AWS Bedrock Nova 2 Sonic, Amazon Kinesis Video Streams with WebRTC, and real-time audio/video processing.
The sample solution architecture:
🚀 Features
Capabilities
- Real-time WebRTC Communication: Low-latency audio streaming using Amazon KVS WebRTC
- AI-Powered Speech Processing: Integration with AWS Bedrock Nova Sonic for advanced speech-to-speech capabilities
- Cross-Platform Support: Works seamlessly on Windows, macOS, and Linux
- Production Ready: Optimized for both development and production environments
- Modular Architecture: Separate Python backend and React frontend for flexibility
- Agent Integration: Support for MCP (Model Context Protocol) and Strands agents
📋 System Requirements
Tested Configuration
This solution has been tested and verified with the following exact versions:
Core Dependencies:
- Python: 3.12.x
- numpy: 1.26.4 (installed via conda as av dependency)
- av (PyAV): 11.0.0 (installed via conda for FFmpeg linking)
- aiortc: 1.6.0 (installed via pip with dependency management)
- ffmpeg: 6.1.2+ (installed via conda)
AWS SDK:
- boto3: ≥1.34.0
- aws-sdk-bedrock-runtime: ≥0.0.1
- smithy-aws-core: ≥0.1.0
Agent Integration:
- mcp: ≥1.0.0
- strands-agents: ≥0.1.0
Hardware Requirements
- CPU: Multi-core processor (Intel i5/AMD Ryzen 5 or better recommended)
- RAM: Minimum 4GB, 8GB recommended for optimal performance
- Storage: At least 2GB free space for dependencies and build files
- Network: Stable internet connection with low latency for real-time communication
- Audio: Microphone and speakers/headphones for testing
Software Requirements
Cross-Platform Support
- Windows: Windows 10 or later
- macOS: macOS 10.15 (Catalina) or later (Intel and Apple Silicon)
- Linux: Ubuntu 18.04+, CentOS 7+, or equivalent distributions
Python Backend
- Python: 3.12 (required for AWS Bedrock runtime)
- Conda: Miniconda or Anaconda (required for proper FFmpeg/PyAV linking)
- System Dependencies: ffmpeg, pkg-config (automatically handled by conda)
React Frontend
- Node.js: 16.0 or higher (18.x LTS recommended)
- npm: 8.0 or higher (comes with Node.js)
- Browser: Modern browser with WebRTC support (Chrome 80+, Firefox 75+, Safari 14+, Edge 80+)
AWS Requirements
- AWS Account: Active AWS account with appropriate permissions
- AWS Services Access:
- Amazon Kinesis Video Streams
- AWS Bedrock (Nova Sonic model access)
- IAM permissions for KVS and Bedrock
🏗️ Project Structure
sample-nova-sonic-speech2speech-webrtc/
├── README.md # This file
├── start-python-server.sh # Python server launcher script (cross-platform)
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手?先看 mcpskill.org 教程 →