Discover the power of Azure Cognitive Service with AI102

Discover the power of Azure Cognitive Service with AI102

Table of Contents

  1. Introduction
  2. Getting Started with Azure Read Service
  3. Logging into Azure Portal
    1. Creating a Resource Group
    2. Searching for Cognitive Service
  4. Creating a Cognitive Service Resource
    1. Selecting a Subscription and Resource Group
    2. Setting up the Resource
  5. Accessing the Service Remotely
    1. Managing Keys
    2. Utilizing the Endpoint
  6. Using SDK for Language Detection
    1. Cloning the Microsoft AI102 AI Engineering Repository
    2. Selecting the Programming Language
  7. Using REST API for Language Detection
    1. Setting up the Environment
    2. Running the REST Client
  8. Conclusion

Getting Started with Azure Read Service

In this article, we will explore how to use the Cognitive Service and get started with Azure Read Service. The Azure Read Service allows us to detect the language of user input using a cognitive service API. We will be utilizing text analytics services in the backend to perform this language detection.

To begin, we need to log into the Azure portal and Create a resource group if one hasn't been created yet. We will then search for the Cognitive Service and create a resource. After that, we will access the service remotely by using the manage key provided by Azure. Finally, we will explore how to use the SDK for language detection and how to use the REST API for the same purpose.

Let's dive into the details step by step.

Logging into Azure Portal

The first step is to log into the Azure portal. If You don't have an account, you can create a free trial account to get started. Once logged in, we need to create a resource group if one doesn't already exist. The resource group acts as a container for the related resources.

Creating a Resource Group

To create a resource group, navigate to the Azure portal's homepage and click on "Create a resource group." If you already have a resource group, you can skip this step. Otherwise, follow the Prompts to create a new resource group and specify its details such as the resource group name, location, and pricing tier.

Once the resource group is created, it will appear in your dashboard.

Searching for Cognitive Service

After creating the resource group, we need to search for the Cognitive Service in the Azure portal. Click on the "Create" button and the portal will automatically select the appropriate subscription (such as the free trial subscription).

Select the resource group you just created, or choose an existing one from the dropdown menu. Next, you need to specify the details for the resource, such as the name and region. Make sure the name is unique and satisfies the required criteria.

Set the pricing tier to "Standard" and acknowledge the terms and conditions.

Creating a Cognitive Service Resource

Once the details are specified, click on "Create" to create the Cognitive Service resource. This may take a few moments. Once the creation process is completed, you will be redirected to the resource's page.

On the homepage, you will find information such as the subscription tier, ID, tags, and pricing details. The most important information is the "Manage Key." This key is required if you want to access the service remotely using the SDK or REST API.

Click on "Manage Key" to view the endpoint information, which includes the endpoint URL and two keys: the primary key and the secondary key. These keys are used to make REST API calls to the service.

To use the service remotely, you will need both the endpoint URL and the keys.

Using SDK for Language Detection

To use the SDK for language detection, we need to clone the Microsoft AI102 AI Engineering repository. This repository contains code examples and labs for AI102 certification. Clone the repository to your desired location using the provided GitHub URL.

Once the cloning is complete, you will find 24 different folders corresponding to each lab. In the Python and C# folders, you will find code related to language detection in both programming languages. Depending on your proficiency, you can choose to work with either Python or C#.

It is recommended to set up your environment for both programming languages so you can experiment with both. Inside each language's folder, you will find two subfolders: one for making REST API calls without using any SDK client, and another one for making calls with the SDK client.

Comparing the code in the two subfolders, you will Notice that the SDK client code is more concise and requires fewer lines of code due to the use of client libraries.

To run the code, make sure to set up the environment variables by copying the appropriate information (endpoint and keys) into the respective environment files. Once the environment is set up, you can run the REST client or the SDK client to perform language detection.

Using REST API for Language Detection

If you prefer to use the REST API instead of the SDK, you can run the REST client code provided in the repository. The code makes a basic REST API call to detect the language Based on user input.

To run the REST client code, open your integrated terminal and navigate to the REST API client folder. Activate your conda environment, if you have one, and run the REST client file. The program will prompt you to enter text for language detection.

You can enter any text, and the program will detect the language and display it. You can try entering text in different languages to see how the detection works.

Conclusion

In this article, we covered the basics of getting started with Azure Read Service and using the Cognitive Service for language detection. We discussed how to log into the Azure portal, create a resource group, search for the Cognitive Service, and create a resource. We also explored how to access the service remotely using the manage key, and demonstrate language detection using both the SDK and REST API.

By following these steps, you can begin utilizing Azure Read Service for language detection in your applications and projects.

Highlights

  • Azure Read Service enables language detection using Cognitive Service APIs.
  • Logging into the Azure portal allows us to create a resource group and search for the Cognitive Service.
  • The Cognitive Service resource provides endpoints and keys for accessing the service remotely.
  • The SDK provides a more manageable way to perform language detection with fewer lines of code.
  • The REST API can also be used for language detection by making REST API calls.
  • Cloning the Microsoft AI102 AI Engineering repository provides code examples for language detection in Python and C#.

FAQ

Q: Can I use Azure Read Service in multiple programming languages? A: Yes, Azure Read Service supports multiple programming languages such as Python and C#. You can choose the language that suits your proficiency.

Q: Is it necessary to set up both the REST API client and SDK client for language detection? A: No, it is not necessary to set up both clients. You can choose either the REST API or the SDK client based on your preference and requirements.

Q: Can I use the Azure Read Service for detecting languages other than English? A: Yes, the Azure Read Service supports language detection for a wide range of languages, including English, German, Spanish, and more.

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