Watch the Chat Summary Quick Start Video.
!IMPORTANT This learning sample is for educational purposes only and should not be used in any production use case. It is intended to highlight concepts of Semantic Kernel and not any architectural / security design practices to be used.
- You will need an Open AI Key or Azure Open AI Service key for this sample.
- Ensure the KernelHttpServer sample is already running at
http://localhost:7071
. If not, follow the steps to start it here. - Run the following command
yarn install
(if you have never run the sample before) and/oryarn start
from the command line. - A browser will automatically open, otherwise you can navigate to
http://localhost:3000
to use the sample.
The Simple Chat Summary sample allows you to see the power of semantic functions used in a chat.
The sample highlights the SummarizeConversation, GetConversationActionItems, and GetConversationTopics native functions in the Conversation Summary Skill. Each function calls Open AI to review the information in the chat window and produces insights.
The chat data can be loaded from this data file – which you can edit or just add more to the chat while you are on the page.
Caution
Each function will call Open AI which will use tokens that you will be billed for.
Book creator – learn how Planner and chaining of semantic functions can be used in your app.
- Try modifying the array exported as ChatThread in ChatThread.ts to alter the conversation that is supplied by default.
- View
loadSummarySkill
,loadActionItemsSkill
andloadTopicsSkill
in ChatInteraction.tsx to seefetch
requests that POST skills to the Semantic Kernel hosted by the Azure Function - Notice how AISummary.tsx makes POST requests to the Azure Function to invoke skills that were previously added. Also take note of the Skill definition and configuration in Skills.ts - these skills were copied from the skills folder and added into the project to create a simple first run experience.