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Semantic Kernel Interactive Demo

An interactive web application showcasing Microsoft's Semantic Kernel capabilities including semantic memory, AI-powered functions, translation, and text summarization.

Quick Start

  1. Create a .env file with your Azure OpenAI credentials:
AZURE_OPENAI_DEPLOYMENT=your-deployment-name
AZURE_OPENAI_API_KEY=your-api-key
AZURE_OPENAI_ENDPOINT=your-endpoint
AZURE_OPENAI_EMBEDDING_DEPLOYMENT=your-embedding-deployment-name
  1. Install dependencies:
cd frontend
npm install --legacy-peer-deps
  1. Start the application:
./start.sh

The script will launch both the backend server (http://localhost:8000) and frontend application (http://localhost:5173). Use Ctrl+C to stop both services.

Features

  • Semantic Memory: Store and retrieve information using semantic search
  • AI Functions: Create and use AI-powered functions with natural language
  • Translation: Translate text between multiple languages
  • Summarization: Generate concise summaries of long texts
  • Weather Plugin: Example of native plugin integration

Requirements

  • Node.js (v14+)
  • Python (v3.13+)
  • Azure OpenAI API credentials

Project Structure

  • frontend/: React application with Material UI
  • backend/: FastAPI server with Semantic Kernel implementation
  • start.sh: Convenience script to run both services

For detailed documentation and examples, visit the Semantic Kernel Documentation