コード例 #1
0
        protected override async Task OnMessageActivityAsync(ITurnContext <IMessageActivity> turnContext, CancellationToken cancellationToken)
        {
            var appId = "a4fe9ae0-be39-4837-b2d9-ed3ca0b33af2";
            var key   = "127183aa64af4de893cc822599f2a4ec";
            var predictionResourceName = "luisgroup";

            var predictionEndpoint = $"https://{predictionResourceName}.cognitiveservices.azure.com/";
            var credentials        = new Microsoft.Azure.CognitiveServices.Language.LUIS.Authoring.ApiKeyServiceClientCredentials(key);
            var runtimeClient      = new LUISRuntimeClient(credentials)
            {
                Endpoint = predictionEndpoint
            };

            var gAppId  = new Guid(appId);
            var request = new PredictionRequest {
                Query = "add tomatoes to rakata1"
            };
            var predi = await runtimeClient.Prediction.GetSlotPredictionAsync(gAppId, "Production", request);

            var topIntent = predi.Prediction.TopIntent;

            switch (topIntent)
            {
                /*
                 * aqui estara todas las opciones que ahorita se ocupan de luis
                 */
            }
        }
コード例 #2
0
ファイル: Startup.cs プロジェクト: Hangzhou-Yunstorm/MoMoBot
        public static IServiceCollection AddLUIS(this IServiceCollection services, IConfiguration configuration)
        {
            services.Configure <LuisSettings>(configuration.GetSection("Luis"));
            var settings = services.BuildServiceProvider().GetRequiredService <IOptions <LuisSettings> >()?.Value
                           ?? throw new ArgumentNullException(nameof(LuisSettings));

            services.AddScoped <ILUISAuthoringClient>(_ =>
            {
                var credentials = new ApiKeyServiceClientCredentials(settings.AuthoringKey);

                var client      = new LUISAuthoringClient(credentials);
                client.Endpoint = settings.AuthoringEndpoint;
                return(client);
            })
            .AddScoped <ILUISRuntimeClient>(_ =>
            {
                var credentials = new ApiKeyServiceClientCredentials(settings.SubscriptionKey);

                var client      = new LUISRuntimeClient(credentials);
                client.Endpoint = settings.RuntimeEndpoint;
                return(client);
            });

            return(services);
        }
コード例 #3
0
        async static Task RunQuickstart()
        {
            var credentials = new Microsoft.Azure.CognitiveServices.Language.LUIS.Authoring.ApiKeyServiceClientCredentials(subscriptionKey);
            var client      = new LUISAuthoringClient(credentials, new System.Net.Http.DelegatingHandler[] { })
            {
                Endpoint = "https://" + region + ".api.cognitive.microsoft.com"
            };

            var app_info = await GetOrCreateApplication(client);

            await AddEntities(client, app_info);
            await AddIntents(client, app_info);
            await AddUtterances(client, app_info);

            Console.WriteLine("You can now train and publish this LUIS application (see Publish.cs).");
        }
コード例 #4
0
ファイル: Program.cs プロジェクト: diberry/dockerfile-azure
        async static Task RunQuickstart()
        {
            // Generate the credentials and create the authoring client.
            var authoring_credentials = new Microsoft.Azure.CognitiveServices.Language.LUIS.Authoring.ApiKeyServiceClientCredentials(authoring_key);
            var authoring_client      = new LUISAuthoringClient(authoring_credentials, new System.Net.Http.DelegatingHandler[] { })
            {
                Endpoint = authoring_endpoint
            };

            // Generate the credentials and create the runtime client.
            var runtime_credentials = new Microsoft.Azure.CognitiveServices.Language.LUIS.Runtime.ApiKeyServiceClientCredentials(runtime_key);
            var runtime_client      = new LUISRuntimeClient(runtime_credentials, new System.Net.Http.DelegatingHandler[] { })
            {
                Endpoint = runtime_endpoint
            };

            Console.WriteLine("Creating application...");
            var app = await CreateApplication(authoring_client);

            Console.WriteLine();

            /* We skip adding entities, intents, and utterances because the
             * predict method will not find the app anyway. */

            Console.WriteLine("Training application...");
            await Train_App(authoring_client, app);

            Console.WriteLine("Waiting 30 seconds for training to complete...");
            System.Threading.Thread.Sleep(30000);
            Console.WriteLine();

            Console.WriteLine("Publishing application...");
            await Publish_App(authoring_client, app);

            Console.WriteLine();

            Console.WriteLine("Querying application...");

            /* It doesn't matter what query we send because the predict method
             * will not find the app anyway. */
            await Query_App(runtime_client, app, "test");

            Console.WriteLine();

            Console.WriteLine("Deleting application...");
            await Delete_App(authoring_client, app);
        }
        // </AuthoringPublishVersionAndSlot>

        async static Task RunQuickstart()
        {
            // <AuthoringCreateClient>
            // Generate the credentials and create the client.
            var credentials = new Microsoft.Azure.CognitiveServices.Language.LUIS.Authoring.ApiKeyServiceClientCredentials(authoring_key);
            var client      = new LUISAuthoringClient(credentials, new System.Net.Http.DelegatingHandler[] { })
            {
                Endpoint = authoring_endpoint
            };

            // </AuthoringCreateClient>


            Console.WriteLine("Creating application...");
            var app = await CreateApplication(client);

            Console.WriteLine();

            Console.WriteLine("Adding entities to application...");
            await AddEntities(client, app);

            Console.WriteLine();

            Console.WriteLine("Adding intents to application...");
            await AddIntents(client, app);

            Console.WriteLine();

            Console.WriteLine("Adding utterances to application...");
            await AddUtterances(client, app);

            Console.WriteLine();

            Console.WriteLine("Training application...");
            await Train_App(client, app);

            Console.WriteLine("Waiting 30 seconds for training to complete...");
            System.Threading.Thread.Sleep(30000);
            Console.WriteLine();

            Console.WriteLine("Publishing application...");
            await Publish_App(client, app);

            Console.WriteLine();
        }
コード例 #6
0
        async static Task RunQuickstart()
        {
            // Generate the credentials and create the client.
            var credentials = new Microsoft.Azure.CognitiveServices.Language.LUIS.Authoring.ApiKeyServiceClientCredentials(subscriptionKey);
            var client      = new LUISAuthoringClient(credentials, new System.Net.Http.DelegatingHandler[] { })
            {
                Endpoint = "https://" + region + ".api.cognitive.microsoft.com"
            };

            var response = await Train_App(client);

            Console.WriteLine("Training status: " + response.Status);

            // Publish the application and show the endpoint URL for the published application.
            var info = await Publish_App(client);

            Console.WriteLine("Endpoint URL: " + info.EndpointUrl);
        }
コード例 #7
0
ファイル: LuisClient.cs プロジェクト: omusavi/NLU.DevOps
        public LuisClient(
            string authoringKey,
            string authoringRegion,
            string endpointKey,
            string endpointRegion,
            AzureSubscriptionInfo azureSubscriptionInfo,
            bool isStaging)
        {
            this.IsStaging = isStaging;

            var endpointOrAuthoringKey = endpointKey ?? authoringKey ?? throw new ArgumentException($"Must specify either '{nameof(authoringKey)}' or '{nameof(endpointKey)}'.");

            this.EndpointRegion        = endpointRegion ?? authoringRegion ?? throw new ArgumentException($"Must specify either '{nameof(authoringRegion)}' or '{nameof(endpointRegion)}'.");
            this.AzureSubscriptionInfo = azureSubscriptionInfo;
            this.AuthoringKey          = authoringKey;

            var endpointCredentials = new Microsoft.Azure.CognitiveServices.Language.LUIS.Runtime.ApiKeyServiceClientCredentials(endpointOrAuthoringKey);

            this.RuntimeClient = new LUISRuntimeClient(endpointCredentials)
            {
                Endpoint = $"{Protocol}{this.EndpointRegion}{Domain}",
            };

            this.LazyAuthoringClient = new Lazy <LUISAuthoringClient>(() =>
            {
                if (authoringKey == null || authoringRegion == null)
                {
                    throw new InvalidOperationException("Must provide authoring key and region to perform authoring operations.");
                }

                var authoringCredentials = new Microsoft.Azure.CognitiveServices.Language.LUIS.Authoring.ApiKeyServiceClientCredentials(authoringKey);
                return(new LUISAuthoringClient(authoringCredentials)
                {
                    Endpoint = $"{Protocol}{authoringRegion}{Domain}",
                });
            });

            this.LazySpeechConfig = new Lazy <SpeechConfig>(() => SpeechConfig.FromSubscription(endpointKey, endpointRegion));
        }
コード例 #8
0
        public static async Task Main()
        {
            // <VariablesYouChange>
            var key = "REPLACE-WITH-YOUR-AUTHORING-KEY";

            var authoringResourceName  = "REPLACE-WITH-YOUR-AUTHORING-RESOURCE-NAME";
            var predictionResourceName = "REPLACE-WITH-YOUR-PREDICTION-RESOURCE-NAME";
            // </VariablesYouChange>

            // <VariablesYouDontNeedToChangeChange>
            var authoringEndpoint  = String.Format("https://{0}.cognitiveservices.azure.com/", authoringResourceName);
            var predictionEndpoint = String.Format("https://{0}.cognitiveservices.azure.com/", predictionResourceName);

            var appName    = "Contoso Pizza Company";
            var versionId  = "0.1";
            var intentName = "OrderPizzaIntent";
            // </VariablesYouDontNeedToChangeChange>

            // <AuthoringCreateClient>
            var credentials = new Microsoft.Azure.CognitiveServices.Language.LUIS.Authoring.ApiKeyServiceClientCredentials(key);
            var client      = new LUISAuthoringClient(credentials)
            {
                Endpoint = authoringEndpoint
            };
            // </AuthoringCreateClient>

            // Create app
            var appId = await CreateApplication(client, appName, versionId);

            // <AddIntent>
            await client.Model.AddIntentAsync(appId, versionId, new ModelCreateObject()
            {
                Name = intentName
            });

            // </AddIntent>

            // Add Entities
            await AddEntities(client, appId, versionId);

            // Add Labeled example utterance
            await AddLabeledExample(client, appId, versionId, intentName);

            // <TrainAppVersion>
            await client.Train.TrainVersionAsync(appId, versionId);

            while (true)
            {
                var status = await client.Train.GetStatusAsync(appId, versionId);

                if (status.All(m => m.Details.Status == "Success"))
                {
                    // Assumes that we never fail, and that eventually we'll always succeed.
                    break;
                }
            }
            // </TrainAppVersion>

            // <PublishVersion>
            await client.Apps.PublishAsync(appId, new ApplicationPublishObject { VersionId = versionId, IsStaging = false });

            // </PublishVersion>

            // <PredictionCreateClient>
            var runtimeClient = new LUISRuntimeClient(credentials)
            {
                Endpoint = predictionEndpoint
            };
            // </PredictionCreateClient>

            // <QueryPredictionEndpoint>
            // Production == slot name
            var request = new PredictionRequest {
                Query = "I want two small pepperoni pizzas with more salsa"
            };
            var prediction = await runtimeClient.Prediction.GetSlotPredictionAsync(appId, "Production", request);

            Console.Write(JsonConvert.SerializeObject(prediction, Formatting.Indented));
            // </QueryPredictionEndpoint>
        }
コード例 #9
0
        // It's always a good idea to access services in an async fashion
        public static async Task Main()
        {
            var authoringEndpoint  = String.Format("https://{0}.cognitiveservices.azure.com/", AUTHORING_RESOURCE_NAME);
            var predictionEndpoint = String.Format("https://{0}.cognitiveservices.azure.com/", PREDICTION_RESOURCE_NAME);

            var appName    = "Contoso Pizza Company";
            var versionId  = "0.1";
            var intentName = "OrderPizza";

            // Authenticate the client
            Console.WriteLine("Authenticating the client...");
            var credentials = new Microsoft.Azure.CognitiveServices.Language.LUIS.Authoring.ApiKeyServiceClientCredentials(AUTHORING_KEY);
            var client      = new LUISAuthoringClient(credentials)
            {
                Endpoint = authoringEndpoint
            };

            // Create a LUIS app
            var newApp = new ApplicationCreateObject
            {
                Culture          = "en-us",
                Name             = appName,
                InitialVersionId = versionId
            };

            Console.WriteLine("Creating a LUIS app...");
            var appId = await client.Apps.AddAsync(newApp);

            // Create intent for the app
            Console.WriteLine("Creating intent for the app...");
            await client.Model.AddIntentAsync(appId, versionId, new ModelCreateObject()
            {
                Name = intentName
            });

            // Create entities for the app
            Console.WriteLine("Creating entities for the app...");

            // Add Prebuilt entity
            await client.Model.AddPrebuiltAsync(appId, versionId, new[] { "number" });

            // Define ml entity with children and grandchildren
            var mlEntityDefinition = new EntityModelCreateObject
            {
                Name     = "Pizza order",
                Children = new[]
                {
                    new ChildEntityModelCreateObject
                    {
                        Name     = "Pizza",
                        Children = new[]
                        {
                            new ChildEntityModelCreateObject {
                                Name = "Quantity"
                            },
                            new ChildEntityModelCreateObject {
                                Name = "Type"
                            },
                            new ChildEntityModelCreateObject {
                                Name = "Size"
                            }
                        }
                    },
                    new ChildEntityModelCreateObject
                    {
                        Name     = "Toppings",
                        Children = new[]
                        {
                            new ChildEntityModelCreateObject {
                                Name = "Type"
                            },
                            new ChildEntityModelCreateObject {
                                Name = "Quantity"
                            }
                        }
                    }
                }
            };

            // Add ML entity
            var mlEntityId = await client.Model.AddEntityAsync(appId, versionId, mlEntityDefinition);;

            // Add phraselist feature
            var phraselistId = await client.Features.AddPhraseListAsync(appId, versionId, new PhraselistCreateObject
            {
                EnabledForAllModels = false,
                IsExchangeable      = true,
                Name    = "QuantityPhraselist",
                Phrases = "few,more,extra"
            });

            // Get entity and subentities
            var model = await client.Model.GetEntityAsync(appId, versionId, mlEntityId);

            var toppingQuantityId = GetModelGrandchild(model, "Toppings", "Quantity");
            var pizzaQuantityId   = GetModelGrandchild(model, "Pizza", "Quantity");

            // add model as feature to subentity model
            await client.Features.AddEntityFeatureAsync(appId, versionId, pizzaQuantityId, new ModelFeatureInformation { ModelName = "number", IsRequired = true });

            await client.Features.AddEntityFeatureAsync(appId, versionId, toppingQuantityId, new ModelFeatureInformation { ModelName = "number" });

            // add phrase list as feature to subentity model
            await client.Features.AddEntityFeatureAsync(appId, versionId, toppingQuantityId, new ModelFeatureInformation { FeatureName = "QuantityPhraselist" });

            // Add example utterance to intent
            Console.WriteLine("Adding example utterance to intent...");

            // Define labeled example
            var labeledExampleUtteranceWithMLEntity = new ExampleLabelObject
            {
                Text         = "I want two small seafood pizzas with extra cheese.",
                IntentName   = intentName,
                EntityLabels = new[]
                {
                    new EntityLabelObject
                    {
                        StartCharIndex = 7,
                        EndCharIndex   = 48,
                        EntityName     = "Pizza order",
                        Children       = new[]
                        {
                            new EntityLabelObject
                            {
                                StartCharIndex = 7,
                                EndCharIndex   = 30,
                                EntityName     = "Pizza",
                                Children       = new[]
                                {
                                    new EntityLabelObject {
                                        StartCharIndex = 7, EndCharIndex = 9, EntityName = "Quantity"
                                    },
                                    new EntityLabelObject {
                                        StartCharIndex = 11, EndCharIndex = 15, EntityName = "Size"
                                    },
                                    new EntityLabelObject {
                                        StartCharIndex = 17, EndCharIndex = 23, EntityName = "Type"
                                    }
                                }
                            },
                            new EntityLabelObject
                            {
                                StartCharIndex = 37,
                                EndCharIndex   = 48,
                                EntityName     = "Toppings",
                                Children       = new[]
                                {
                                    new EntityLabelObject {
                                        StartCharIndex = 37, EndCharIndex = 41, EntityName = "Quantity"
                                    },
                                    new EntityLabelObject {
                                        StartCharIndex = 43, EndCharIndex = 48, EntityName = "Type"
                                    }
                                }
                            }
                        }
                    },
                }
            };

            // Add an example for the entity.
            // Enable nested children to allow using multiple models with the same name.
            // The quantity subentity and the phraselist could have the same exact name if this is set to True
            await client.Examples.AddAsync(appId, versionId, labeledExampleUtteranceWithMLEntity, enableNestedChildren : true);

            // Train the app
            Console.WriteLine("Training the app...");
            await client.Train.TrainVersionAsync(appId, versionId);

            while (true)
            {
                var status = await client.Train.GetStatusAsync(appId, versionId);

                if (status.All(m => m.Details.Status == "Success"))
                {
                    // Assumes that we never fail, and that eventually we'll always succeed.
                    break;
                }
            }

            // Publish app to production slot
            Console.WriteLine("Publishing the app to production slot...");
            await client.Apps.PublishAsync(appId, new ApplicationPublishObject { VersionId = versionId, IsStaging = false });

            // Authenticate the prediction runtime client
            Console.WriteLine("Authenticating the prediction client...");
            credentials = new Microsoft.Azure.CognitiveServices.Language.LUIS.Authoring.ApiKeyServiceClientCredentials(PREDICTION_KEY);
            var runtimeClient = new LUISRuntimeClient(credentials)
            {
                Endpoint = predictionEndpoint
            };

            // Get prediction from runtime
            // Production == slot name
            Console.WriteLine("Getting prediction...");
            var request = new PredictionRequest {
                Query = "I want two small pepperoni pizzas with more salsa"
            };
            var prediction = await runtimeClient.Prediction.GetSlotPredictionAsync(appId, "Production", request);

            Console.Write(JsonConvert.SerializeObject(prediction, Formatting.Indented));
        }