azure-ai-services-integration's Introduction

Azure AI Services

This repository is used for applying learning examples of Azure AI services throughout my journey to explore the Azure AI capabilities, and to prepare for Certification Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

Prerequisites

Azure AI service resource
Azure Language resource
.NET Framework
VSCode
MS Speech SDK
MS Vision SDK

Note: If you are using dev-container, you don't need to install any of the above. Just open the project in VSCode and it will install all the required tools for you.

Documentation

Running

Before running the application, make sure you have:

Installed the Pre-requisites mentioned above.
Created the environment file .env under root folder based on the template file .env.template.
Created the http environment file http-client.env.json based on the template file http-client.env.template.json.

To build the service source code and run unit-tests, use:

make build

To run the service in development mode, use:

make run

The following is a list of make commands should be run from root folder.

help                   💬 This help message :)
build                  🔨 build the application and run unit-test 
run                    🏃 Run the API application
e2e-init               🔨 Initialize e2e test environment by installing httpyac CLI
e2e                    💻 Run e2e-test for both rest and sdk integration
e2e-rest               🏃 Run e2e-test for the rest integration
e2e-sdk                💻 Run e2e-test for the sdk integration

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