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‎.env.sample‎

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MSSQL='Server=.database.windows.net;Initial Catalog=;Persist Security Info=False;User ID=session_recommender_app;Password=unEno!h5!&*KP420xds&@P901afb$^M;MultipleActiveResultSets=False;Encrypt=True;Connection Timeout=30;'
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OPENAI.URL='https://.openai.azure.com'
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OPENAI.KEY=''

‎.gitattributes‎

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# Thanks to: https://rehansaeed.com/gitattributes-best-practices/
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# Set default behavior to automatically normalize line endings.
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* text=auto
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# Force batch scripts to always use CRLF line endings so that if a repo is accessed
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# in Windows via a file share from Linux, the scripts will work.
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*.{cmd,[cC][mM][dD]} text eol=crlf
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*.{bat,[bB][aA][tT]} text eol=crlf
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# Force bash scripts to always use LF line endings so that if a repo is accessed
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# in Unix via a file share from Windows, the scripts will work.
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*.sh text eol=lf

‎.gitignore‎

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# JetBrains Rider
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*.sln.iml
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# Custom
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.env
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azuredeploy.parameters.json
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*.zip
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.azure/

‎.nvmrc‎

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‎.vscode/extensions.json‎

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{
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"recommendations": [
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"ms-azuretools.vscode-azurefunctions",
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"ms-dotnettools.csharp"
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]
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}

‎.vscode/launch.json‎

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{
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Attach to .NET Functions",
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"type": "coreclr",
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"request": "attach",
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"processId": "${command:azureFunctions.pickProcess}"
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},
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{
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"name": "Run web app",
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"type": "node",
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"request": "launch",
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"cwd": "${workspaceFolder}",
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"runtimeExecutable": "swa",
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"runtimeArgs": ["start"],
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"presentation": {
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"hidden": false,
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"group": "Frontend",
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"order": 1
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},
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"preLaunchTask": "npm: install"
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}
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]
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}

‎.vscode/settings.json‎

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{
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"azureFunctions.deploySubpath": "api/bin/Release/net8.0/publish",
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"azureFunctions.projectLanguage": "C#",
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"azureFunctions.projectRuntime": "~4",
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"debug.internalConsoleOptions": "neverOpen",
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"azureFunctions.preDeployTask": "publish (functions)"
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}

‎.vscode/tasks.json‎

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{
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"version": "2.0.0",
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"tasks": [
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{
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"label": "clean (functions)",
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"command": "dotnet",
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"args": [
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"clean",
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"/property:GenerateFullPaths=true",
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"/consoleloggerparameters:NoSummary"
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],
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"type": "process",
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"problemMatcher": "$msCompile",
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"options": {
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"cwd": "${workspaceFolder}/api"
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}
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},
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{
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"label": "build (functions)",
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"command": "dotnet",
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"args": [
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"build",
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"/property:GenerateFullPaths=true",
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"/consoleloggerparameters:NoSummary"
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],
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"type": "process",
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"dependsOn": "clean (functions)",
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"group": {
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"kind": "build",
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"isDefault": true
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},
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"problemMatcher": "$msCompile",
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"options": {
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"cwd": "${workspaceFolder}/api"
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}
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},
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{
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"label": "clean release (functions)",
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"command": "dotnet",
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"args": [
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"clean",
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"--configuration",
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"Release",
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"/property:GenerateFullPaths=true",
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"/consoleloggerparameters:NoSummary"
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],
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"type": "process",
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"problemMatcher": "$msCompile",
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"options": {
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"cwd": "${workspaceFolder}/api"
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}
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},
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{
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"label": "publish (functions)",
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"command": "dotnet",
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"args": [
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"publish",
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"--configuration",
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"Release",
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"/property:GenerateFullPaths=true",
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"/consoleloggerparameters:NoSummary"
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],
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"type": "process",
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"dependsOn": "clean release (functions)",
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"problemMatcher": "$msCompile",
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"options": {
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"cwd": "${workspaceFolder}/api"
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}
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},
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{
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"type": "func",
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"dependsOn": "build (functions)",
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"options": {
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"cwd": "${workspaceFolder}/api/bin/Debug/net8.0"
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},
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"command": "host start",
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"isBackground": true,
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"problemMatcher": "$func-dotnet-watch"
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},
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{
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"type": "npm",
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"options": {
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"cwd": "${workspaceFolder}/client"
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},
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"script": "install",
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"label": "npm: install"
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}
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]
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}

‎README.md‎

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# Project Name
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Coming Soon!
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(short, 1-3 sentenced, description of the project)
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In the meantime take a look at v1 of this project:
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## Features
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- https://sessionfinder.dotnetconf.net/
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- https://github.com/Azure-Samples/azure-sql-db-session-recommender
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This project framework provides the following features:
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# Session Recommender V2
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* Feature 1
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* Feature 2
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* ...
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Coming soon...
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## Getting Started
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### Prerequisites
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```
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(ideally very short, if any)
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insert into web.sessions
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(title, abstract, external_id, start_time_PST, end_time_PST, require_embeddings_update)
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values
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(
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'Building a session recommender using OpenAI and Azure SQL',
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'In this fun and demo-driven session you’ll learn how to integrate Azure SQL with OpenAI to generate text embeddings, store them in the database, index them and calculate cosine distance to build a session recommender. And once that is done, you’ll publish it as a REST and GraphQL API to be consumed by a modern JavaScript frontend. Sounds pretty cool, uh? Well, it is!',
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'S1',
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'2024-03-10 10:00:00',
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'2024-03-10 11:00:00',
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1
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)
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- OS
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- Library version
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- ...
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```
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### Installation
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```
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swa start ./client --api-location ./func --data-api-location ./swa-db-connections
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```
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(ideally very short)
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## Fluent UI
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- npm install [package name]
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- mvn install
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- ...
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The solution uses Fluent UI for the UI components. The Fluent UI is a collection of UX frameworks from Microsoft that provides a consistent design language for web, mobile, and desktop applications. More details about Fluent UI can be found at the following links:
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### Quickstart
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(Add steps to get up and running quickly)
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1. git clone [repository clone url]
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2. cd [repository name]
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3. ...
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## Demo
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A demo app is included to show how to use the project.
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To run the demo, follow these steps:
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(Add steps to start up the demo)
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1.
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## Resources
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(Any additional resources or related projects)
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- Link to supporting information
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- Link to similar sample
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- ...
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- https://github.com/microsoft/fluentui
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- https://react.fluentui.dev/

‎azure.yaml‎

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# yaml-language-server: $schema=https://raw.githubusercontent.com/Azure/azure-dev/main/schemas/v1.0/azure.yaml.json
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name: azure-sql-db-session-recommender-v2
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metadata:
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template: azure-sql-db-session-recommender-v2
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services:
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web:
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project: ./client
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language: js
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host: staticwebapp
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dist: dist
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functionapp:
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project: ./func
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language: dotnet
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host: function

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