This project explores the integration of Semantic Kernel with Azure Open AI to build a learning application. It assists users in exploring various topics through tutorials and quizzes generated by Azure Open AI, leveraging the power and flexibility of Azure's AI services.

We're tapping into Azure Open AI's capabilities to control prompts and requests in our chat-based deployments. This learning app is designed to offer a dynamic and interactive educational experience, powered by the latest advancements in AI-driven content generation.

To make the most of this solution, here are the prerequisites:

• Azure Subscription: Ensure you have an Azure subscription with Open AI enabled. Apply via Microsoft Form for Azure Open AI access.

• Region Availability: Once approved, you'll access GPT-4 in specific Azure regions including Sweden Central, Canada East, and Switzerland North.

• Development Environment:

  • Docker: Required for containerization.
  • Azure Functions Core Tools and Azure Account: For Azure integrations.
  • Python for VSCode: Essential for backend development.
  • Node.js: For React implementation and frontend testing.

1. Apply for Azure OpenAI Service: Complete the application to access Azure Open AI services.

2. Set Up Your Development Environment: Ensure your workstation is equipped with Docker, Azure Functions Core Tools, Python, and Node.js.

3. Clone the Repository: Get started by cloning this repository to your local environment.

4. Follow the Blog for Detailed Instructions: For step-by-step guidance, visit Semantic Kernel: Container Apps with React and Python.

We encourage contributions! If you have ideas on how to improve this application or want to report a bug, please feel free to open an issue or submit a pull request.