https://github.com/Azure-For-Everyone/sk-hotelfiltering

An example of how to use Semantic Kernel as part of a Hotel booking website for filtering hotels using natural language.
https://github.com/Azure-For-Everyone/sk-hotelfiltering

large-language-models llm python react semantickernel

Last synced: 27 days ago
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An example of how to use Semantic Kernel as part of a Hotel booking website for filtering hotels using natural language.

• Host: GitHub
• URL: https://github.com/Azure-For-Everyone/sk-hotelfiltering
• Owner: Azure-For-Everyone
• Created: 2023-09-22T07:31:03.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-05-21T10:09:15.000Z (about 1 month ago)
• Last Synced: 2024-05-21T11:31:22.781Z (about 1 month ago)
• Topics: large-language-models, llm, python, react, semantickernel
• Language: JavaScript
• Homepage:
• Size: 9.15 MB
• Stars: 3
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• awesome-semantickernel - An example of how to use Semantic Kernel as part of a Hotel booking website for filtering hotels using natural language

README

        
# Build Intelligent Apps: Semantic Kernel in your application

In this repository we'll show you how to leverage [Semantic Kernel](https://github.com/microsoft/semantic-kernel) into an existing application. As an example we'll use how you can benefit from Semantic Kernel in a Hotel booking website. You can use natural language to search through a list of hotels.

This demostration was shown on following events:

- [Austria] Oct/23 - [Microsoft Build 2023](https://pulse.microsoft.com/de-at/transform-de-at/na/fa2-microsoft-build-austria/)

- [Ireland] Oct/23 - [Microsoft Build 2023](https://msevents.microsoft.com/event?id=3755029226)

- [Belgium] Nov/23 - [SaaS local day](https://msevents.microsoft.com/event?id=1131853098)

- [Austria] Dec/23 - [Unlocking AI Opportunities:](https://msevents.microsoft.com/event?id=1236497086)

![Hotel website](./img/hotel-booking-semantic-kernel.gif)

## Why Semantic Kernel?

[Semantic Kernel](https://github.com/microsoft/semantic-kernel) allows developers to use AI without any knowledge about AI or LLM. As a web developer or software engineer you can focus on the things you're best: writing code for business applications, and you have the LLM or other models completely abstracted.

## What is in this example?

This example has two parts:

1. an `ui` part which contains the Hotel booking website written in React.

   

   yarn start

    

2. an `api` part which contains the Hotel booking API written in Python and contains some custom logic and the Semantic Kernel SDK.

    python main

## Getting started

Within the `api` we are using a LLM model, either hosted on OpenAI or Azure OpenAI. Before you can run the backend (as mentioned above), make sure you have defined you're OpenAI credentials in the [`.env` file](https://github.com/Azure-For-Everyone/sk-hotelfiltering/blob/main/api/.env) in the `api` folder. Specify the service you which to use by providing `AzureOpenAI` or `OpenAI` to the `GLOBAL__LLM_SERVICE` variable.

    GLOBAL__LLM_SERVICE="AzureOpenAI" # or "OpenAI"

    AZURE_OPEN_AI__DEPLOYMENT_TYPE="chat-completion"

    AZURE_OPEN_AI__CHAT_COMPLETION_DEPLOYMENT_NAME="xxx"

    AZURE_OPEN_AI__TEXT_COMPLETION_DEPLOYMENT_NAME="xxx"

    AZURE_OPEN_AI__ENDPOINT="https://xxx.openai.azure.com"

    AZURE_OPEN_AI__API_KEY="xxx"

    OPEN_AI__MODEL_TYPE="chat-completion"

    OPEN_AI__CHAT_COMPLETION_MODEL_ID="gpt-4"

    OPEN_AI__TEXT_COMPLETION_MODEL_ID="text-davinci-003"

    OPEN_AI__API_KEY="xxx"

    OPEN_AI__ORG_ID="xxx"