Develop Azure AI services applications securely by using Azure Key Vault and Run Text Analytics (C#)

//Develop Azure AI services applications securely by using Azure Key Vault

and Run Text Analytics (C#)

//Create an Azure AI services account

//Create an Azure Key Vault

using Azure;

using Azure.AI.TextAnalytics;

using Azure.Core;

using Azure.Identity;

using Azure.Security.KeyVault.Secrets;

using System;

using System.Threading.Tasks;

namespace WhizConsoleApp1

{

    class Program

    {

        static async Task Main(string[] args)

        {

            var keyVaultName = "mykeyvalut85"; //"your-key-vault-name";

            const string keySecretName = "CognitiveServicesKey"; //"Your-Key-Secret-Name";

            const string endpointSecretName = "CognitiveServicesEndpoint"; //"Your-Endpoint-Secret-Name";

            var kvUri = $"https://{keyVaultName}.vault.azure.net/";

            // Try DefaultAzureCredential first and fall back to

                InteractiveBrowserCredential if authentication is unavailable.

            TokenCredential credential = new DefaultAzureCredential();

            SecretClient keyVaultClient = new SecretClient(new Uri(kvUri), credential);

            Console.WriteLine($"Retrieving your secrets from {keyVaultName}.");

            KeyVaultSecret keySecret = null;

            KeyVaultSecret endpointSecret = null;

            try

            {

                var keyResponse = await keyVaultClient.GetSecretAsync(keySecretName);

                keySecret = keyResponse.Value;

                var endpointResponse = await keyVaultClient.GetSecretAsync(endpointSecretName);

                endpointSecret = endpointResponse.Value;

            }

            catch (Azure.Identity.CredentialUnavailableException)

            {

                Console.WriteLine("DefaultAzureCredential could not authenticate

                    with any of the configured credential sources.");

                Console.WriteLine("Falling back to InteractiveBrowserCredential.

                    A browser window will open for authentication.");

                credential = new InteractiveBrowserCredential();

                keyVaultClient = new SecretClient(new Uri(kvUri), credential);

                try

                {

                    var keyResponse =

                        await keyVaultClient.GetSecretAsync(keySecretName);

                    keySecret = keyResponse.Value;

                    var endpointResponse =

                        await keyVaultClient.GetSecretAsync(endpointSecretName);

                    endpointSecret = endpointResponse.Value;

                }

                catch (Exception ex)

                {

                    Console.WriteLine($"Failed to retrieve secrets after falling

                        back: {ex.Message}");

                    Console.WriteLine("Recommendations: run 'az login', or set

                        AZURE_CLIENT_ID / AZURE_TENANT_ID / AZURE_CLIENT_SECRET

                        environment variables for a service principal.");

                    Console.ReadLine();

                    return;

                }

            }

            catch (Exception ex)

            {

                Console.WriteLine($"Failed to retrieve secrets: {ex.Message}");

                Console.ReadLine();

                return;

            }

            Console.WriteLine($"Your key secret value is: {keySecret.Value}");

            Console.WriteLine($"Your endpoint secret value is: {endpointSecret.Value}");

            Console.WriteLine("Secrets retrieved successfully");

            EntityRecognitionExample(keySecret.Value, endpointSecret.Value);

            Console.ReadLine();

        }

        private static void EntityRecognitionExample(

            string keySecret, string endpointSecret

        )

        {

            var exampleString = "I had a wonderful trip to Seattle last week.";

            AzureKeyCredential azureKeyCredential = new AzureKeyCredential(keySecret);

            Uri endpoint = new Uri(endpointSecret);

            var languageServiceClient =

                new TextAnalyticsClient(endpoint, azureKeyCredential);

            Console.WriteLine("Sending a Named Entity Recognition (NER) request");

            var response = languageServiceClient.RecognizeEntities(exampleString);

            Console.WriteLine("Named Entities:");

            foreach (var entity in response.Value)

            {

                Console.WriteLine($"\tText: {entity.Text},\tCategory:

                    {entity.Category},\tSub-Category: {entity.SubCategory}");

                Console.WriteLine($"\t\tScore: {entity.ConfidenceScore:F2},\tLength:

                    {entity.Length},\tOffset: {entity.Offset}\n");

            }

        }

    }

}

OutPut: