+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeDocument.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeDocument.cshtml.cs
new file mode 100644
index 0000000..5833514
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeDocument.cshtml.cs
@@ -0,0 +1,165 @@
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using System.Text;
+using Amazon.Textract;
+using Amazon.Textract.Model;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Formats.Jpeg;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class AnalyzeDocumentModel(IAmazonTextract textractClient, IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ [BindProperty]
+ public IFormFile? FormFile { get; set; }
+ public string FileName { get; set; } = string.Empty;
+ public string Result { get; set; } = string.Empty;
+
+ public void OnGet()
+ {
+ }
+
+ public async Task OnPostDetectTextAsync()
+ {
+ if (FormFile == null)
+ {
+ return;
+ }
+ // save document image to display it
+ var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath);
+ FileName = formDocument.FileName;
+
+ var detectDocumentTextRequest = new DetectDocumentTextRequest()
+ {
+ Document = new Document { Bytes = formDocument.MemoryStream }
+ };
+
+ var detectDocumentTextResponse = await textractClient.DetectDocumentTextAsync(detectDocumentTextRequest);
+
+ var stringBuilder = new StringBuilder();
+
+ // Load image to modify with face bounding box rectangle
+ using (var image = await SixLabors.ImageSharp.Image.LoadAsync(formDocument.FileNameWithPath))
+ {
+ foreach (var block in detectDocumentTextResponse.Blocks)
+ {
+ if (block.BlockType.Value == "LINE")
+ {
+ stringBuilder.AppendFormat("{0}Analyze Document
+ + + +
+
+
+
+
+
+ @if (!string.IsNullOrEmpty(Model.FileName))
+ {
+ 
+ }
+
+
+ }
+
+ @Html.Raw(Model.Result)
+
+ ", block.Text); + + // Get the bounding box + var boundingBox = block.Geometry.BoundingBox; + + // Draw the rectangle using the bounding box values + image.DrawRectangleUsingBoundingBox(boundingBox); + } + } + + // Save the new image + await image.SaveAsJpegAsync(formDocument.FileNameWithPath, new JpegEncoder { ColorType = JpegEncodingColor.Rgb}); + } + + Result = stringBuilder.ToString(); + } + + public async Task OnPostDetectFormsAsync() + { + if (FormFile == null) + { + return; + } + // save document image to display it + var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath); + FileName = formDocument.FileName; + + var analyzeDocumentRequest = new AnalyzeDocumentRequest + { + Document = new Document { Bytes = formDocument.MemoryStream }, + FeatureTypes = ["FORMS"] + }; + + var analyzeDocumentResponse = await textractClient.AnalyzeDocumentAsync(analyzeDocumentRequest); + + var stringBuilder = new StringBuilder(); + + // Load image to modify with face bounding box rectangle + using (var image = await SixLabors.ImageSharp.Image.LoadAsync(formDocument.FileNameWithPath)) + { + foreach (var block in analyzeDocumentResponse.Blocks) + { + if (block.BlockType.Value == "KEY_VALUE_SET") + { + foreach (var relation in block.Relationships) + { + if (relation.Type == RelationshipType.CHILD) { + foreach (var id in relation.Ids) + { + var related = analyzeDocumentResponse.Blocks.First(b => b.Id == id); + + stringBuilder.AppendFormat("{0} ", related.Text); + } + } + + stringBuilder.AppendFormat("
"); + } + + // Get the bounding box + var boundingBox = block.Geometry.BoundingBox; + + // Draw the rectangle using the bounding box values + image.DrawRectangleUsingBoundingBox(boundingBox); + } + } + + // Save the new image + await image.SaveAsJpegAsync(formDocument.FileNameWithPath, new JpegEncoder { ColorType = JpegEncodingColor.Rgb}); + } + + Result = stringBuilder.ToString(); + } + + public async Task OnPostDetectTablesAsync() + { + if (FormFile == null) + { + return; + } + // save document image to display it + var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath); + FileName = formDocument.FileName; + + var analyzeDocumentRequest = new AnalyzeDocumentRequest + { + Document = new Document { Bytes = formDocument.MemoryStream }, + FeatureTypes = ["TABLES"] + }; + + var analyzeDocumentResponse = await textractClient.AnalyzeDocumentAsync(analyzeDocumentRequest); + + var stringBuilder = new StringBuilder(); + + // Load image to modify with face bounding box rectangle + using (var image = await SixLabors.ImageSharp.Image.LoadAsync(formDocument.FileNameWithPath)) + { + foreach (var block in analyzeDocumentResponse.Blocks) + { + if (block.BlockType.Value == "TABLE") + { + // Get the bounding box + var boundingBox = block.Geometry.BoundingBox; + + // Draw the rectangle using the bounding box values + image.DrawRectangleUsingBoundingBox(boundingBox); + } + } + + // Save the new image + await image.SaveAsJpegAsync(formDocument.FileNameWithPath, new JpegEncoder { ColorType = JpegEncodingColor.Rgb}); + } + + Result = stringBuilder.ToString(); + } + + } +} diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeExpense.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeExpense.cshtml new file mode 100644 index 0000000..b7196cb --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeExpense.cshtml @@ -0,0 +1,35 @@ +@page +@using Microsoft.AspNetCore.Mvc.TagHelpers +@model AnalyzeExpenseModel +@{ + ViewData["Title"] = "Invoice reporting"; +} + +
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeExpense.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeExpense.cshtml.cs
new file mode 100644
index 0000000..8a28cad
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeExpense.cshtml.cs
@@ -0,0 +1,78 @@
+using Amazon.Textract;
+using Amazon.Textract.Model;
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using System.Text;
+using System.Text.Encodings.Web;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class AnalyzeExpenseModel(IAmazonTextract textractClient, IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ [BindProperty]
+ public IFormFile? FormFile { get; set; }
+ public string FileName { get; set; } = string.Empty;
+ public string Result { get; set; } = string.Empty;
+
+ public void OnGet()
+ {
+ }
+
+ public async Task OnPostAsync()
+ {
+ if (FormFile == null)
+ return;
+
+ // save image to display it
+ var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath);
+ FileName = formDocument.FileName;
+
+ var request = new AnalyzeExpenseRequest()
+ {
+ Document = new Document { Bytes = formDocument.MemoryStream }
+ };
+
+ var response = await textractClient.AnalyzeExpenseAsync(request);
+
+ var stringBuilder = new StringBuilder();
+
+ foreach (var document in response.ExpenseDocuments)
+ {
+ stringBuilder.AppendLine("Items:Invoice reporting
+ + + +
+
+
+
+
+
+ @if (!string.IsNullOrEmpty(Model.FileName))
+ {
+
+ }
+
+
+ }
+
+ @Html.Raw(Model.Result)
+
+ "); + stringBuilder.AppendLine("==========================
"); + foreach (var itemGroup in document.LineItemGroups) + { + foreach (var item in itemGroup.LineItems) + { + var price = item.LineItemExpenseFields.FirstOrDefault(i => i.Type.Text == "PRICE")?.ValueDetection?.Text; + var title = item.LineItemExpenseFields.FirstOrDefault(i => i.Type.Text == "ITEM")?.ValueDetection?.Text; + + stringBuilder.AppendFormat( + "Item: {0}, Price: {1}
", + title, + price); + } + } + + stringBuilder.AppendLine("==========================
"); + stringBuilder.AppendLine("Summary:
"); + stringBuilder.AppendLine("==========================
"); + foreach (var field in document.SummaryFields) + { + if (field.Type.Text != "OTHER") + { + stringBuilder.AppendFormat( + "Type: {0}, Text: {1}
", + field.Type.Text, + field.ValueDetection.Text); + } + } + + + } + + Result = stringBuilder.ToString(); + } + } +} diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeID.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeID.cshtml new file mode 100644 index 0000000..5e3c6a3 --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeID.cshtml @@ -0,0 +1,35 @@ +@page +@using Microsoft.AspNetCore.Mvc.TagHelpers +@model AnalyzeIDModel +@{ + ViewData["Title"] = "Analyze ID"; +} + +
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeID.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeID.cshtml.cs
new file mode 100644
index 0000000..f8fffbd
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/AnalyzeID.cshtml.cs
@@ -0,0 +1,55 @@
+using Amazon.Textract;
+using Amazon.Textract.Model;
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using System.Text;
+using System.Text.Encodings.Web;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class AnalyzeIDModel(IAmazonTextract textractClient, IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ [BindProperty]
+ public IFormFile? FormFile { get; set; }
+ public string FileName { get; set; } = string.Empty;
+ public string Result { get; set; } = string.Empty;
+
+ public void OnGet()
+ {
+ }
+
+ public async Task OnPostAsync()
+ {
+ if (FormFile == null)
+ return;
+
+ // save image to display it
+ var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath);
+ FileName = formDocument.FileName;
+
+ var request = new AnalyzeIDRequest()
+ {
+ DocumentPages = [new Document { Bytes = formDocument.MemoryStream }]
+ };
+
+ var response = await textractClient.AnalyzeIDAsync(request);
+
+ var stringBuilder = new StringBuilder();
+
+ foreach (var document in response.IdentityDocuments)
+ {
+ stringBuilder.AppendLine("==========================Analyze ID
+ + + +
+
+
+
+
+
+ @if (!string.IsNullOrEmpty(Model.FileName))
+ {
+
+ }
+
+
+ }
+
+ @Html.Raw(Model.Result)
+
+ "); + foreach (var field in document.IdentityDocumentFields) + { + stringBuilder.AppendFormat( + "Type: {0}, Text: {1}
", + field.Type.Text, + field.ValueDetection.Text); + } + } + + Result = stringBuilder.ToString(); + } + } +} diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/CustomClassification.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/CustomClassification.cshtml new file mode 100644 index 0000000..b5f5904 --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/CustomClassification.cshtml @@ -0,0 +1,26 @@ +@page +@using Microsoft.AspNetCore.Mvc.TagHelpers +@model CustomClassificationModel +@{ + ViewData["Title"] = "Document Classification - Custom classification"; +} + +
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/CustomClassification.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/CustomClassification.cshtml.cs
new file mode 100644
index 0000000..7910035
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/CustomClassification.cshtml.cs
@@ -0,0 +1,166 @@
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using Amazon.Comprehend;
+using Amazon.Comprehend.Model;
+using Amazon.SecurityToken;
+using Amazon.SecurityToken.Model;
+using Amazon.Textract;
+using Amazon.Textract.Model;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class CustomClassificationModel(IAmazonComprehend comprehendClient, IAmazonTextract textractClient,
+ IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ public string Result { get; set; } = string.Empty;
+
+ // TODO: use your bucket name
+ private const string BUCKET_NAME = "adrag-idp";
+ private const string DOCUMENT_CLASSIFIER_NAME = "ReInvent-IDP-Insurance-Demo-Doc-Classifier";
+ private const string DOCUMENT_CLASSIFIER_VERSION = "IDP-v1";
+ private const string DOCUMENT_CLASSIFIER_ENDPOINT_NAME = "ReInvent-IDP-Insurance-Demo-Endpoint";
+
+ public void OnGet()
+ {
+ }
+
+ private async TaskCustom Classification
+ + + +
+
+
+
+
+
+ @Html.Raw(Model.Result)
+
+
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DetectPII.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DetectPII.cshtml.cs
new file mode 100644
index 0000000..9622a98
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DetectPII.cshtml.cs
@@ -0,0 +1,133 @@
+using System.Net.Mime;
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using System.Text;
+using Amazon;
+using Amazon.BedrockRuntime;
+using Amazon.BedrockRuntime.Model;
+using Amazon.Comprehend;
+using Amazon.Comprehend.Model;
+using Amazon.Textract;
+using Amazon.Textract.Model;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class DetectPIIModel(IAmazonTextract textractClient, IAmazonComprehend comprehendClient,
+ IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ [BindProperty]
+ public IFormFile? FormFile { get; set; }
+ public string FileName { get; set; } = string.Empty;
+ public string Result { get; set; } = string.Empty;
+
+ public void OnGet()
+ {
+ }
+
+
+ public async Task OnPostDetectPIIAsync()
+ {
+ if (FormFile == null)
+ {
+ return;
+ }
+ // save document image to display it
+ var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath);
+ FileName = formDocument.FileName;
+
+ var detectDocumentTextRequest = new DetectDocumentTextRequest()
+ {
+ Document = new Document { Bytes = formDocument.MemoryStream }
+ };
+
+ var detectDocumentTextResponse = await textractClient.DetectDocumentTextAsync(detectDocumentTextRequest);
+
+ var stringBuilder = new StringBuilder();
+
+
+ foreach (var block in detectDocumentTextResponse.Blocks)
+ {
+ if (block.BlockType.Value == "LINE")
+ {
+ stringBuilder.AppendFormat("{0}\n", block.Text);
+ }
+ }
+
+ var text = stringBuilder.ToString();
+
+ var request = new DetectPiiEntitiesRequest()
+ {
+ Text = text,
+ LanguageCode = "en"
+ };
+
+ var response = await comprehendClient.DetectPiiEntitiesAsync(request);
+
+ stringBuilder.Clear();
+ stringBuilder.AppendLine("PII:Detect PII
+ + + +
+
+
+
+
+
+ @if (!string.IsNullOrEmpty(Model.FileName))
+ {
+
+ }
+
+
+ }
+
+ @Html.Raw(Model.Result)
+
+ "); + stringBuilder.AppendLine("==========================
"); + + foreach (var entity in response.Entities) + { + stringBuilder.AppendFormat( + "Text: {0}, Type: {1}, Score: {2}
", + text.Substring(entity.BeginOffset, entity.EndOffset - entity.BeginOffset), + entity.Type, + entity.Score); + } + + stringBuilder.AppendLine("==========================
"); + stringBuilder.AppendLine("Raw text:
"); + stringBuilder.AppendLine(text); + + Result = stringBuilder.ToString(); + } + + public async Task OnPostDetectPIIBedrockAsync() + { + if (FormFile == null) + { + return; + } + // save document image to display it + var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath); + FileName = formDocument.FileName; + + var runtime = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1); + + var request = new ConverseRequest + { + ModelId = "anthropic.claude-3-sonnet-20240229-v1:0", + Messages = + [ + new Message + { + Role = ConversationRole.User, + Content = + [ + new ContentBlock + { + Text = $"Detect all PII information, output list of found entities as JSON with value and type of PII" + }, + new ContentBlock + { + Image = new ImageBlock + { + Format = ImageFormat.Jpeg, + Source = new ImageSource { Bytes = formDocument.MemoryStream } + } + } + ] + } + ] + }; + + var response = await runtime.ConverseAsync(request); + + Result = response?.Output?.Message?.Content?[0].Text ?? ""; + + } + + } +} diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DetectSignatures.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DetectSignatures.cshtml new file mode 100644 index 0000000..c6490fa --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DetectSignatures.cshtml @@ -0,0 +1,33 @@ +@page +@using Microsoft.AspNetCore.Mvc.TagHelpers +@model DetectSignaturesModel +@{ + ViewData["Title"] = "Detect Signatures"; +} + +
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DetectSignatures.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DetectSignatures.cshtml.cs
new file mode 100644
index 0000000..590cc70
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DetectSignatures.cshtml.cs
@@ -0,0 +1,58 @@
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using Amazon.Textract;
+using Amazon.Textract.Model;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Formats.Jpeg;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class DetectSignaturesModel(IAmazonTextract textractClient, IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ [BindProperty]
+ public IFormFile? FormFile { get; set; }
+ public string FileName { get; set; } = string.Empty;
+
+ public void OnGet()
+ {
+ }
+
+ public async Task OnPostDetectSignaturesAsync()
+ {
+ if (FormFile == null)
+ return;
+
+ // save document image to display it
+ var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath);
+ FileName = formDocument.FileName;
+
+ var analyzeDocumentRequest = new AnalyzeDocumentRequest
+ {
+ Document = new Document { Bytes = formDocument.MemoryStream },
+ FeatureTypes = ["SIGNATURES"]
+ };
+
+ var analyzeDocumentResponse = await textractClient.AnalyzeDocumentAsync(analyzeDocumentRequest);
+
+ // Load image to modify with bounding box rectangle
+ using (var image = await SixLabors.ImageSharp.Image.LoadAsync(formDocument.FileNameWithPath))
+ {
+ foreach (var block in analyzeDocumentResponse.Blocks)
+ {
+ if (block.BlockType.Value == "SIGNATURE")
+ {
+ // Get the bounding box
+ var boundingBox = block.Geometry.BoundingBox;
+
+ // Draw the rectangle using the bounding box values
+ image.DrawRectangleUsingBoundingBox(boundingBox);
+ }
+ }
+
+ // Save the new image
+ await image.SaveAsJpegAsync(formDocument.FileNameWithPath, new JpegEncoder { ColorType = JpegEncodingColor.Rgb});
+ }
+ }
+ }
+}
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DocumentClassification.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DocumentClassification.cshtml
new file mode 100644
index 0000000..0f04f96
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DocumentClassification.cshtml
@@ -0,0 +1,36 @@
+@page
+@using Microsoft.AspNetCore.Mvc.TagHelpers
+@model DocumentClassificationModel
+@{
+ ViewData["Title"] = "Document Classification";
+}
+
+Detect Signatures
+ + + +
+
+
+
+
+
+ @if (!string.IsNullOrEmpty(Model.FileName))
+ {
+
+ }
+
+
+
+ }
+
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DocumentClassification.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DocumentClassification.cshtml.cs
new file mode 100644
index 0000000..75a17f5
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/DocumentClassification.cshtml.cs
@@ -0,0 +1,139 @@
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using System.Text;
+using Amazon;
+using Amazon.BedrockRuntime;
+using Amazon.BedrockRuntime.Model;
+using Amazon.Comprehend;
+using Amazon.Comprehend.Model;
+using Amazon.SecurityToken;
+using Amazon.SecurityToken.Model;
+using Amazon.Textract;
+using Amazon.Textract.Model;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class DocumentClassificationModel(IAmazonComprehend comprehendClient, IAmazonTextract textractClient,
+ IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ [BindProperty]
+ public IFormFile? FormFile { get; set; }
+ public string FileName { get; set; } = string.Empty;
+ public string Result { get; set; } = string.Empty;
+
+
+ private const string DOCUMENT_CLASSIFIER_ENDPOINT_NAME = "ReInvent-IDP-Insurance-Demo-Endpoint";
+
+ public void OnGet()
+ {
+ }
+
+
+ public async Task OnPostDetectDocumentTypeAsync()
+ {
+ if (FormFile == null)
+ return;
+
+ var client = new AmazonSecurityTokenServiceClient();
+ var response = await client.GetCallerIdentityAsync(new GetCallerIdentityRequest());
+ var account = response.Account;
+
+ // save document image to display it
+ var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath);
+ FileName = formDocument.FileName;
+
+ var classifyDocumentRequest = new ClassifyDocumentRequest
+ {
+ Bytes = formDocument.MemoryStream,
+ EndpointArn = $"arn:aws:comprehend:eu-west-1:{account}:document-classifier-endpoint/{DOCUMENT_CLASSIFIER_ENDPOINT_NAME}",
+ DocumentReaderConfig = new DocumentReaderConfig
+ {
+ DocumentReadAction = DocumentReadAction.TEXTRACT_DETECT_DOCUMENT_TEXT,
+ DocumentReadMode = DocumentReadMode.FORCE_DOCUMENT_READ_ACTION
+ }
+ };
+
+ var classifyDocumentResponse = await comprehendClient.ClassifyDocumentAsync(classifyDocumentRequest);
+
+ var stringBuilder = new StringBuilder();
+
+ foreach (var documentClass in classifyDocumentResponse.Classes)
+ {
+ stringBuilder.AppendFormat(
+ "Type: {0}, Confidence score: {1}Document Classification
+ + + +
+
+
+
+
+
+ @if (!string.IsNullOrEmpty(Model.FileName))
+ {
+
+ }
+
+
+ }
+
+ @Html.Raw(Model.Result)
+
+ ", + documentClass.Name, + documentClass.Score); + } + + Result = stringBuilder.ToString(); + } + + public async Task OnPostDetectDocumentTypeBedrockAsync() + { + if (FormFile == null) + return; + + // save document image to display it + var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath); + FileName = formDocument.FileName; + + var runtime = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1); + + var prompt = @" + Classify the document into the following classes +
"); + result.AppendLine(summary); + + result.AppendLine("
==========================
"); + result.AppendLine($"Input tokens: {response.Usage.InputTokens}
"); + result.AppendLine($"Output tokens: {response.Usage.OutputTokens}
"); + result.AppendLine($"Total tokens: {response.Usage.TotalTokens}
"); + + Result = result.ToString(); + } + } +} diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Error.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Error.cshtml new file mode 100644 index 0000000..b5105b6 --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Error.cshtml @@ -0,0 +1,26 @@ +@page +@model ErrorModel +@{ + ViewData["Title"] = "Error"; +} + +
Error.
+An error occurred while processing your request.
+ +@if (Model.ShowRequestId) +{ +
+ Request ID: @Model.RequestId
+
Development Mode
++ Swapping to the Development environment displays detailed information about the error that occurred. +
++ The Development environment shouldn't be enabled for deployed applications. + It can result in displaying sensitive information from exceptions to end users. + For local debugging, enable the Development environment by setting the ASPNETCORE_ENVIRONMENT environment variable to Development + and restarting the app. +
\ No newline at end of file diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Error.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Error.cshtml.cs new file mode 100644 index 0000000..8cd06ca --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Error.cshtml.cs @@ -0,0 +1,26 @@ +using System.Diagnostics; +using Microsoft.AspNetCore.Mvc; +using Microsoft.AspNetCore.Mvc.RazorPages; + +namespace AIServicesDemoApp.Pages; + +[ResponseCache(Duration = 0, Location = ResponseCacheLocation.None, NoStore = true)] +[IgnoreAntiforgeryToken] +public class ErrorModel : PageModel +{ + public string? RequestId { get; set; } + + public bool ShowRequestId => !string.IsNullOrEmpty(RequestId); + + private readonly ILogger
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Identity.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Identity.cshtml.cs
new file mode 100644
index 0000000..790dfe1
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Identity.cshtml.cs
@@ -0,0 +1,144 @@
+using Amazon.Rekognition;
+using Amazon.Rekognition.Model;
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using System.Text;
+using Amazon;
+using Amazon.BedrockRuntime;
+using Amazon.BedrockRuntime.Model;
+using Amazon.Textract.Model;
+using SixLabors.ImageSharp;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class IdentityCheckModel(IAmazonRekognition rekognitionClient, IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ [BindProperty]
+ public IFormFile? IdentityFormFile { get; set; }
+ [BindProperty]
+ public IFormFile? PhotoFormFile { get; set; }
+ public string IdentityFileName { get; set; } = String.Empty;
+ public string PhotoFileName { get; set; } = String.Empty;
+ public string Result { get; set; } = String.Empty;
+
+ public void OnGet()
+ {
+ }
+
+ public async Task OnPostIdentitiesAsync()
+ {
+ if ((IdentityFormFile == null) || (PhotoFormFile == null))
+ {
+ return;
+ }
+ // save id to display it
+ var identityDocument = await Helpers.SaveImage(IdentityFormFile, hostEnvironment.WebRootPath);
+ IdentityFileName = identityDocument.FileName;
+
+ // save photo to display it
+ var photoDocument = await Helpers.SaveImage(PhotoFormFile, hostEnvironment.WebRootPath);
+ PhotoFileName = photoDocument.FileName;
+
+ // create request
+ var compareFacesRequest = new CompareFacesRequest()
+ {
+ SourceImage = new Amazon.Rekognition.Model.Image { Bytes = identityDocument.MemoryStream },
+ TargetImage = new Amazon.Rekognition.Model.Image { Bytes = photoDocument.MemoryStream }
+ };
+
+ var compareFacesResponse = await rekognitionClient.CompareFacesAsync(compareFacesRequest);
+
+ var stringBuilder = new StringBuilder();
+ stringBuilder.AppendLine("Text:Identity check
+ + + +
+
+
+
+
+
+ @if (!string.IsNullOrEmpty(Model.IdentityFileName))
+ {
+ 
+ }
+
+
+ }
+
+ @Html.Raw(Model.Result)
+ @if (!string.IsNullOrEmpty(Model.PhotoFileName))
+ {
+ 
+ }
+
+
+ }
+ "); + stringBuilder.AppendLine("==========================
"); + + if (compareFacesResponse.FaceMatches.Count > 0) + { + stringBuilder.AppendFormat( + "Face similarity: {0}
", + compareFacesResponse.FaceMatches[0].Similarity); + + // Load image to modify with face bounding box rectangle + using (var image = await SixLabors.ImageSharp.Image.LoadAsync(photoDocument.FileNameWithPath)) + { + var faceDetail = compareFacesResponse.FaceMatches[0].Face; + + // Get the bounding box + var boundingBox = faceDetail.BoundingBox; + + // Draw the rectangle using the bounding box values + image.DrawRectangleUsingBoundingBox(boundingBox); + + // Save the new image + await image.SaveAsJpegAsync(photoDocument.FileNameWithPath); + } + } + else + { + stringBuilder.AppendLine("No matching faces"); + } + + Result = stringBuilder.ToString(); + + } + + public async Task OnPostIdentitiesBedrockAsync() + { + if ((IdentityFormFile == null) || (PhotoFormFile == null)) + { + return; + } + // save id to display it + var identityDocument = await Helpers.SaveImage(IdentityFormFile, hostEnvironment.WebRootPath); + IdentityFileName = identityDocument.FileName; + + // save photo to display it + var photoDocument = await Helpers.SaveImage(PhotoFormFile, hostEnvironment.WebRootPath); + PhotoFileName = photoDocument.FileName; + + var runtime = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1); + + var request = new ConverseRequest + { + ModelId = "anthropic.claude-3-sonnet-20240229-v1:0", + Messages = + [ + new Message + { + Role = ConversationRole.User, + Content = + [ + new ContentBlock + { + Text = "Compare persons in these 2 images, identify if it is the same person." + }, + new ContentBlock + { + Image = new ImageBlock + { + Format = ImageFormat.Jpeg, + Source = new ImageSource { Bytes = identityDocument.MemoryStream } + } + }, + new ContentBlock + { + Image = new ImageBlock + { + Format = ImageFormat.Jpeg, + Source = new ImageSource { Bytes = photoDocument.MemoryStream } + } + } + ] + } + ] + }; + + var response = await runtime.ConverseAsync(request); + var summary = response?.Output?.Message?.Content?[0]?.Text ?? ""; + + Result = summary; + + } + } +} diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Index.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Index.cshtml new file mode 100644 index 0000000..b06db3b --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Index.cshtml @@ -0,0 +1,93 @@ +@page +@using Microsoft.AspNetCore.Mvc.TagHelpers +@model IndexModel +@{ + ViewData["Title"] = "Home page"; +} + +
+
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Index.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Index.cshtml.cs
new file mode 100644
index 0000000..27db1e9
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Index.cshtml.cs
@@ -0,0 +1,235 @@
+using System.Diagnostics;
+using System.Net.Mime;
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using Amazon.Comprehend;
+using Amazon.Comprehend.Model;
+using System.Text;
+using System.Text.Json;
+using System.Text.Json.Nodes;
+using Amazon;
+using Amazon.BedrockRuntime;
+using Amazon.BedrockRuntime.Model;
+using Amazon.Translate;
+using Amazon.Translate.Model;
+using Amazon.S3;
+using Amazon.S3.Model;
+using Amazon.Textract.Model;
+using Amazon.Util;
+
+namespace AIServicesDemoApp.Pages;
+
+public class IndexModel(IAmazonComprehend comprehendClient, IAmazonTranslate translateClient)
+ : PageModel
+{
+ [BindProperty]
+ public string Text { get; set; } = string.Empty;
+ public string Result { get; set; } = string.Empty;
+
+ public void OnGet()
+ {
+
+ }
+
+ public async Task OnPostTranslateAsync()
+ {
+ // detect text of the language
+ var request = new DetectDominantLanguageRequest()
+ {
+ Text = Text
+ };
+ var response = await comprehendClient.DetectDominantLanguageAsync(request);
+
+ // get fist language from the list
+ var languageCode = response.Languages[0].LanguageCode;
+ var stringBuilder = new StringBuilder();
+ stringBuilder.AppendFormat("Language: {0}Discover insights and relationships in text
+ ++ + Sample texts + +
++ + Sample text to translate + +
+
+
+
+
+
+
+ About AWS Lambda (in French)
++ AWS Lambda est un service de calcul sans serveur qui exécute votre code en réponse à des événements et gère automatiquement les ressources de calcul sous-jacentes pour vous. Ces événements peuvent inclure des changements d'état ou une mise à jour, comme un utilisateur plaçant un élément dans un panier sur un site web de e-commerce. Vous pouvez utiliser AWS Lambda pour étendre les autres services AWS avec une logique personnalisée ou créer vos propres services backend qui fonctionnent en bénéficiant de la mise à l’échelle, des performances et de la sécurité AWS. AWS Lambda exécute automatiquement un code en réponse à plusieurs événements, tels que les requêtes HTTP via Amazon API Gateway, les modifications d'objets dans des compartiments Amazon Simple Storage Service (Amazon S3), les mises à jour de tables dans Amazon DynamoDB ou les transitions d'états dans AWS Step Functions. +
+Chief Executive Officer, Amazon Web Services
++ Jeff Bezos founded Amazon.com in 1994. Amazon’s mission is to be Earth's most customer-centric company. Amazon offers low prices and fast delivery on millions of items, provides thousands of movies and TV shows through Prime Video, designs and builds the bestselling Kindle, Fire and Echo devices and Alexa voice recognition service, and empowers companies and governments in over 190 countries around the world with the leading cloud computing infrastructure through Amazon Web Services. Bezos is also the founder of aerospace company Blue Origin, which is working to lower the cost and increase the safety of spaceflight, and he is owner of the Washington Post. Bezos has launched two philanthropic organizations. The Bezos Earth Fund helps fund nonprofits preserving and protecting the natural world, and The Bezos Day One Fund provides grants to nonprofits to help homeless families and is creating a network of preschools in low-income communities. Bezos graduated summa cum laude, Phi Beta Kappa in electrical engineering and computer science from Princeton University in 1986, and was named TIME Magazine’s Person of the Year in 1999. +
+ @*About Amazon EC2 (in Portuguese)
++ O Amazon Elastic Compute Cloud (Amazon EC2) oferece a plataforma de computação mais ampla e profunda, com mais de 500 instâncias e opções do processador, armazenamento, redes, sistema operacional e modelo de compra mais recentes para ajudar você a atender melhor às necessidades da sua workload. Somos o primeiro grande provedor de nuvem a oferecer suporte para processadores Intel, AMD e Arm, a única nuvem com instâncias Mac do EC2 sob demanda e a única nuvem com redes Ethernet de 400 Gbps. Oferecemos a melhor performance de preço para treinamento de machine learning, bem como o menor custo por instâncias de inferência na nuvem. Mais workloads SAP, computação de alta performance (HPC), ML e Windows são executadas na AWS do que qualquer outra nuvem. +
+ +Contact Form
++ Hi, my name is John Stanley. For verification, the last 4 digits of my social are 6789 and my birth date is 20/09. I paid for my credit card 5412-0000-1111-0000 last week from my bank account 123876738-4352. The check was mailed from 100 Main Street, Anytown, WA 98121. +
*@ +
+
+
+
+
+
+ Amazon Translate fournit une traduction rapide, abordable et personnalisable de grande qualité. Il s'agit d'un service de traduction automatique neuronale, une méthode de traduction automatique qui exploite des modèles de deep learning pour générer une traduction plus précise, plus fluide et plus naturelle que les algorithmes de traduction traditionnels, basés sur les statistiques et les règles. Les moteurs sont formés sur une grande variété de contenu à travers différents cas d'utilisation et domaines pour bien fonctionner sur de nombreux types de contenu.
+
+ Amazon Translate prend en charge la traduction entre les 75 langues suivantes : afrikaans, albanais, allemand, amharique, anglais, arabe, arménien, azerbaïdjanais, bengali, bosniaque, bulgare, catalan, chinois (simplifié), chinois (traditionnel), coréen, croate, créole haïtien, danois, dari, espagnol, espagnol mexicain, estonien, farsi persan, finlandais, français, français canadien, gallois, grec, gujarati, géorgien, haoussa, hindi, hongrois, hébreu, indonésien, irlandais, islandais, italien, japonais, kannada, kazakh, letton, lituanien, macédonien, malais, malayalam, maltais, marathi, mongol, norvégien, néerlandais, ouzbek, pachto, penjabi, polonais, portugais, portugais (Portugal), roumain, russe, serbe, sinhala, slovaque, slovène, somali, suédois, swahili, tagalog philippin, tamoul, tchèque, thaï, turc, télougou, ukrainien, urdu et vietnamien. Grâce à ces différentes combinaisons, 5 550 paires de langues sont prises en charge au total pour la traduction. Pour la liste actualisée des langues prises en charge, consultez la documentation Amazon Translate.
+ Basé sur un réseau neuronal
+
+ Amazon Translate utilise des techniques d'apprentissage profond pour produire des traductions plus précises et plus fluides que les modèles de traduction traditionnels, basés sur les statistiques et les règles. Le système de traduction machine neuronale est conçu sur un réseau neuronal qui prend en compte l'ensemble du contexte de la phrase source ainsi que les traductions qu'il a générées jusqu'alors, pour produire des traductions plus fluides et plus précises. Par comparaison, les machines de traduction conventionnelles basées sur les phrases ne prennent comme contexte que quelques mots avant et après le mot traduit.
+
+ Grâce à Active Custom Translation (ACT), Amazon Translate vous permet de mieux contrôler la sortie de votre traduction automatique. Vous pouvez désormais apporter vos données (données parallèles) à Amazon Translate pour personnaliser la sortie traduite automatiquement en fonction de vos besoins.ous pouvez désormais apporter vos données (données parallèles) à Amazon Translate pour personnaliser la sortie traduite automatiquement en fonction de vos besoins. ACT est capable de produire une sortie traduite personnalisée sans qu'il soit nécessaire de créer et de maintenir un modèle de traduction personnalisé. Vous pouvez mettre à jour vos données parallèles aussi souvent que nécessaire pour garder votre traduction personnalisée à jour sans frais. Ce qui est vraiment beau avec ACT c’est que vous obtenez les meilleurs résultats de traduction automatique, même lorsque vous traduisez des documents qui ne relèvent pas du domaine de vos données parallèles. Pour plus d’informations, consultez cette page de documentation.
+
+ En utilisant une terminologie personnalisée, Amazon Translate vous permet de définir comment des termes ou des noms spécifiques à certaines organisations, certains secteurs et certaines industries doivent être traduits. La possibilité de personnaliser les résultats avec la terminologie personnalisée peut réduire le nombre de traductions à modifier par des traducteurs professionnels, ce qui entraîne des économies de coûts et des traductions plus rapides. Pour des informations, consultez cette page de documentation.
+
+ Amazon Translate identifie automatiquement la langue source lorsqu'elle n'est pas précisée. Par exemple, le contenu généré par l'utilisateur, comme les critiques de clients et les flux de réseaux sociaux ne contiennent souvent pas de code langue. Amazon Translate peut automatiquement reconnaître les langues, avec une haute précision.
+
+ Amazon Translate est la solution idéale pour réaliser à la fois des traductions par lots (lorsque vous possédez un grand volume de textes à traduire) et en temps réel (lorsque vous souhaitez générer des traductions de contenu à la demande en tant que fonction de vos applications). Par exemple, vous pouvez utiliser l’API TextTranslation d’un lot asynchrone pour traduire en bloc une grande quantité de documents Word (docx), de présentations PowerPoint (pptx), de feuilles de calcul Excel (xlsx), de textes et de documents HTML d’une langue à l’autre et partager votre contenu sans barrière linguistique. Vous pouvez aussi utiliser l’API TranslateText en temps réel d’Amazon pour traduire instantanément les conversations instantanées du service client afin d’aider les agents dédiés à mieux répondre aux besoins des clients internationaux.
+
+ Amazon Translate prend en charge la traduction en temps réel de fichiers texte, HTML et Docx. Les clients peuvent soumettre un document à partir de la console AWS, de la CLI ou de l'API SDK et recevoir le document traduit en temps réel tout en conservant le format du document d'origine.
+
+ La communication entre votre page Web ou vos applications et le service Amazon Translate est protégée par le chiffrement SSL. Tout contenu traité par Amazon Translate est chiffré et stocké au repos dans la région AWS où vous utilisez le service. Les administrateurs peuvent également contrôler l'accès à Amazon Translate via une stratégie d'autorisations AWS Identity and Access Management (IAM), en s'assurant que les informations sensibles sont protégées et restent confidentielles.
+
+ Avec Amazon Translate, vous ne payez qu'en fonction de votre consommation, ce qui vous permet de vous adapter facilement, et à moindre coût, à vos besoins en matière de traduction. Vous êtes facturé en fonction du nombre total de caractères envoyés à l'API pour traduction.
+
+
+
+
+
+
+
+
+ @Html.Raw(Model.Result)
+
+ ", languageCode); + stringBuilder.AppendLine("==========================
"); + + // translate text to English + var translateRequest = new TranslateTextRequest() + { + Text = Text, + SourceLanguageCode = languageCode, + TargetLanguageCode = "en" + }; + + Stopwatch stopwatch = new Stopwatch(); + stopwatch.Start(); + var translateResponse = await translateClient.TranslateTextAsync(translateRequest); + stopwatch.Stop(); + + stringBuilder.AppendFormat("Translated Text: {0}
", translateResponse.TranslatedText); + stringBuilder.AppendFormat("Time taken: {0}ms
", stopwatch.ElapsedMilliseconds); + stringBuilder.AppendFormat("Characters: {0}
", Text.Length); + + Result = stringBuilder.ToString(); + + + } + + public async Task OnPostClaudeTranslateAsync() + { + var runtime = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1); + + // Interpolated raw string literals + string json = + $$""" + { + "anthropic_version": "bedrock-2023-05-31", + "max_tokens": 500, + "messages": [ + { + "role": "user", + "content": [ + { + "type": "text", + "text": "Translate to English: {{Text}}" + } + ] + } + ] + } + """; + + var request = new InvokeModelRequest + { + ModelId = "anthropic.claude-3-sonnet-20240229-v1:0", + Accept = "*/*", + ContentType = "application/json", + Body = AWSSDKUtils.GenerateMemoryStreamFromString(json) + }; + + var response = await runtime.InvokeModelAsync(request); + + var bedrockResponse = JsonSerializer.Deserialize
"); + result.AppendLine(response?.Output?.Message?.Content?[0].Text ?? ""); + + result.AppendLine("
==========================
"); + result.AppendLine($"Input tokens: {response?.Usage.InputTokens}
"); + result.AppendLine($"Output tokens: {response?.Usage.OutputTokens}
"); + result.AppendFormat("Time taken: {0}ms
", stopwatch.ElapsedMilliseconds); + + Result = result.ToString(); + + + } + + public async Task OnPostEntitiesAsync() + { + // detect entities + var request = new DetectEntitiesRequest() + { + Text = Text, + LanguageCode = "en" + }; + var response = await comprehendClient.DetectEntitiesAsync(request); + var stringBuilder = new StringBuilder(); + stringBuilder.AppendLine("Entities:
"); + stringBuilder.AppendLine("==========================
"); + foreach (var entity in response.Entities) + { + stringBuilder.AppendFormat( + "Text: {0}, Type: {1}, Score: {2}, Offset: {3}-{4}
", + Text.Substring(entity.BeginOffset, entity.EndOffset - entity.BeginOffset), + entity.Type, + entity.Score, + entity.BeginOffset, + entity.EndOffset); + } + Result = stringBuilder.ToString(); + + } + + public async Task OnPostPIIAsync() + { + var request = new DetectPiiEntitiesRequest() + { + Text = Text, + LanguageCode = "en" + }; + + var response = await comprehendClient.DetectPiiEntitiesAsync(request); + + var stringBuilder = new StringBuilder(); + stringBuilder.AppendLine("PII:
"); + stringBuilder.AppendLine("==========================
"); + + foreach (var entity in response.Entities) + { + stringBuilder.AppendFormat( + "Text: {0}, Type: {1}, Score: {2}, Offset: {3}-{4}
", + Text.Substring(entity.BeginOffset, entity.EndOffset - entity.BeginOffset), + entity.Type, + entity.Score, + entity.BeginOffset, + entity.EndOffset); + } + + Result = stringBuilder.ToString(); + + } +} \ No newline at end of file diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Query.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Query.cshtml new file mode 100644 index 0000000..0e55439 --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Query.cshtml @@ -0,0 +1,67 @@ +@page +@using Microsoft.AspNetCore.Mvc.TagHelpers +@model QueryModel +@{ + ViewData["Title"] = "Query"; +} + +
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Query.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Query.cshtml.cs
new file mode 100644
index 0000000..9519806
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Query.cshtml.cs
@@ -0,0 +1,205 @@
+using System.Diagnostics;
+using System.Text.Json;
+using Amazon.Textract;
+using Amazon.Textract.Model;
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using Amazon.BedrockRuntime;
+using Amazon;
+using Amazon.BedrockRuntime.Model;
+using Amazon.Util;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Formats.Jpeg;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class QueryModel(IAmazonTextract textractClient, IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ [BindProperty]
+ public string Query { get; set; } = string.Empty;
+
+ [BindProperty]
+ public IFormFile? FormFile { get; set; }
+ public string FileName { get; set; } = string.Empty;
+ public string Result { get; set; } = string.Empty;
+
+
+ public void OnGet()
+ {
+ }
+
+ public async Task OnPostTextractAsync()
+ {
+ if (FormFile == null)
+ return;
+
+ // save document image to display it
+ var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath);
+ FileName = formDocument.FileName;
+
+ var queryRequest = new AnalyzeDocumentRequest()
+ {
+ Document = new Document { Bytes = formDocument.MemoryStream },
+ FeatureTypes = ["QUERIES"],
+ QueriesConfig = new QueriesConfig
+ {
+ Queries = [new Query { Text = Query }]
+ }
+ };
+
+ Stopwatch stopwatch = new Stopwatch();
+ stopwatch.Start();
+ var queryResponse = await textractClient.AnalyzeDocumentAsync(queryRequest);
+ stopwatch.Stop();
+
+ var stringBuilder = new StringBuilder();
+ stringBuilder.AppendFormat("Time taken: {0}msQuery form
+ + +
+
+
+
+
+
+ @*
+ Questions - Loan Application
+What is the borrower SSN?
+What is the co-borrower SSN?
+What is the co-borrower name?
+ +Questions - Paystub
+What is social security tax?
+What is social security tax year to date?
+What is social security tax YTD?
*@ + +Questions - Insurance Id
+What is the member name?
+What is the member id?
+What is the PCP name?
+What is the PCP phone number?
+ +
+
+
+
+
+
+ @if (!string.IsNullOrEmpty(Model.FileName))
+ {
+
+ }
+
+
+ }
+
+ @Html.Raw(Model.Result)
+
+ ", stopwatch.ElapsedMilliseconds); + stringBuilder.AppendFormat("Query: {0}
", Query); + + // Load image to modify with bounding box rectangle + using (var image = await SixLabors.ImageSharp.Image.LoadAsync(formDocument.FileNameWithPath)) + { + foreach (var block in queryResponse.Blocks) + { + if (block.BlockType.Value == "QUERY_RESULT") + { + stringBuilder.AppendFormat( + "Answer: {0}, Confidence: {1}
", + block.Text, + block.Confidence); + + // Get the bounding box + var boundingBox = block.Geometry.BoundingBox; + + // Draw the rectangle using the bounding box values + image.DrawRectangleUsingBoundingBox(boundingBox); + } + } + + // Save the new image to display it + await image.SaveAsJpegAsync(formDocument.FileNameWithPath, new JpegEncoder { ColorType = JpegEncodingColor.Rgb}); + } + + Result = stringBuilder.ToString(); + } + + public async Task OnPostBedrockAsync() + { + if (FormFile == null) + return; + + // save document image to display it + var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath); + FileName = formDocument.FileName; + + var runtime = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1); + + // Interpolated raw string literals + string json = + $$""" + { + "anthropic_version": "bedrock-2023-05-31", + "max_tokens": 500, + "messages": [ + { + "role": "user", + "content": [ + { + "type": "image", + "source": { + "type": "base64", + "media_type": "image/jpeg", + "data": "{{formDocument.MemoryStream.AsBase64String()}}" + } + }, + { + "type": "text", + "text": "{{Query}}" + } + ] + } + ] + } + """; + + var request = new InvokeModelRequest + { + ModelId = "anthropic.claude-3-sonnet-20240229-v1:0", + Accept = "*/*", + ContentType = "application/json", + Body = AWSSDKUtils.GenerateMemoryStreamFromString(json) + }; + + var response = await runtime.InvokeModelAsync(request); + + var bedrockResponse = JsonSerializer.Deserialize
"); + result.AppendLine(summary); + + result.AppendLine("
==========================
"); + result.AppendLine($"Input tokens: {response?.Usage.InputTokens}
"); + result.AppendLine($"Output tokens: {response?.Usage.OutputTokens}
"); + result.AppendFormat("Time taken: {0}ms
", stopwatch.ElapsedMilliseconds); + + Result = result.ToString(); + } + } +} diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Rekognition.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Rekognition.cshtml new file mode 100644 index 0000000..292aadf --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Rekognition.cshtml @@ -0,0 +1,38 @@ +@page +@using Microsoft.AspNetCore.Mvc.TagHelpers +@model RekognitionModel +@{ + ViewData["Title"] = "Image analysis"; +} + +
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Rekognition.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Rekognition.cshtml.cs
new file mode 100644
index 0000000..9588ea1
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Rekognition.cshtml.cs
@@ -0,0 +1,165 @@
+using Amazon.Rekognition;
+using Amazon.Rekognition.Model;
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using System.Text;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.Formats.Jpeg;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class RekognitionModel(IAmazonRekognition rekognitionClient, IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ [BindProperty]
+ public IFormFile? FormFile { get; set; }
+ public string FileName { get; set; } = string.Empty;
+ public string Result { get; set; } = string.Empty;
+
+
+ public void OnGet()
+ {
+ }
+
+ public async Task OnPostFacesAsync()
+ {
+ if (FormFile == null)
+ return;
+
+ // save image to display it
+ var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath);
+ FileName = formDocument.FileName;
+
+ var detectFacesRequest = new DetectFacesRequest()
+ {
+ Image = new Amazon.Rekognition.Model.Image { Bytes = formDocument.MemoryStream }
+ };
+
+ var detectFacesResponse = await rekognitionClient.DetectFacesAsync(detectFacesRequest);
+
+ if (detectFacesResponse.FaceDetails.Count > 0)
+ {
+ // Load image to modify with face bounding box rectangle
+ using (var image = await SixLabors.ImageSharp.Image.LoadAsync(formDocument.FileNameWithPath))
+ {
+ foreach (var faceDetail in detectFacesResponse.FaceDetails)
+ {
+ // Get the bounding box
+ var boundingBox = faceDetail.BoundingBox;
+
+ // Draw the rectangle using the bounding box values
+ image.DrawRectangleUsingBoundingBox(boundingBox);
+ }
+
+ // Save the new image
+ await image.SaveAsJpegAsync(formDocument.FileNameWithPath, new JpegEncoder { ColorType = JpegEncodingColor.Rgb});
+ }
+ }
+ }
+
+ public async Task OnPostEntitiesAsync()
+ {
+ if (FormFile == null)
+ return;
+
+ // save image to display it
+ var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath);
+ FileName = formDocument.FileName;
+
+ var detectLabelsRequest = new DetectLabelsRequest()
+ {
+ Image = new Amazon.Rekognition.Model.Image { Bytes = formDocument.MemoryStream }
+ };
+
+ var detectLabelsResponse = await rekognitionClient.DetectLabelsAsync(detectLabelsRequest);
+
+
+ var stringBuilder = new StringBuilder();
+ stringBuilder.AppendLine("Labels:Image analysis
+ + + +
+
+
+
+
+
+ @if (!string.IsNullOrEmpty(Model.FileName))
+ {
+
+ }
+
+
+ }
+
+ @Html.Raw(Model.Result)
+
+ "); + stringBuilder.AppendLine("==========================
"); + + foreach (var label in detectLabelsResponse.Labels) + { + stringBuilder.AppendFormat( + "Label: {0}, Confidence: {1}
", + label.Name, + label.Confidence); + } + + Result = stringBuilder.ToString(); + + } + + public async Task OnPostPPEAsync() + { + if (FormFile == null) + return; + + // save image to display it + var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath); + FileName = formDocument.FileName; + + var request = new DetectProtectiveEquipmentRequest() + { + Image = new Amazon.Rekognition.Model.Image { Bytes = formDocument.MemoryStream } + }; + + var response = await rekognitionClient.DetectProtectiveEquipmentAsync(request); + + var stringBuilder = new StringBuilder(); + stringBuilder.AppendLine("PPE:
"); + stringBuilder.AppendLine("==========================
"); + + foreach (var person in response.Persons) + { + foreach (var bodyPart in person.BodyParts) + { + foreach (var eq in bodyPart.EquipmentDetections) + { + stringBuilder.AppendFormat( + "Body part: {0}, Type: {1}, Covered: {2}
", + bodyPart.Name.Value, + eq.Type.Value, + eq.CoversBodyPart.Value); + } + } + + Result = stringBuilder.ToString(); + + } + } + + public async Task OnPostTextAsync() + { + if (FormFile == null) + return; + + // save image to display it + var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath); + FileName = formDocument.FileName; + + var detectTextRequest = new DetectTextRequest() + { + Image = new Amazon.Rekognition.Model.Image { Bytes = formDocument.MemoryStream } + }; + + var detectTextResponse = await rekognitionClient.DetectTextAsync(detectTextRequest); + + var stringBuilder = new StringBuilder(); + stringBuilder.AppendLine("Text:
"); + stringBuilder.AppendLine("==========================
"); + + foreach (var text in detectTextResponse.TextDetections) + { + if (text.Type == TextTypes.LINE) + { + stringBuilder.AppendFormat( + "Detected text: {0}
", + text.DetectedText); + } + + Result = stringBuilder.ToString(); + } + } + } +} diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Shared/_Layout.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Shared/_Layout.cshtml new file mode 100644 index 0000000..f124b97 --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Shared/_Layout.cshtml @@ -0,0 +1,120 @@ +@using Microsoft.AspNetCore.Mvc.TagHelpers + + + + + +
+
+
+
+
+
+
+
+
+
+ -
+
-
+
+ ++
-
+
- + Text analysis + +
- + Image analysis + +
+ -
+
+ ++
-
+
- + 1. Classification + +
- + 2a. Extraction - Text / Tables / Forms + +
- + 2b. Extraction - Invoices + +
- + 2c. Extraction - ID + +
- + 2d. Extraction - Signatures + +
- + 2e. Extraction - Query based + +
- + 3a. Enrichment - PII + +
- + 3b. Enrichment - summarization + +
- + 4. Validation - Identity check + +
+
+
+ @RenderBody()
+
+
+
+
+
+
+
+
+
+
+
+
+@await RenderSectionAsync("Scripts", required: false)
+
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Shared/_Layout.cshtml.css b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Shared/_Layout.cshtml.css
new file mode 100644
index 0000000..c187c02
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Shared/_Layout.cshtml.css
@@ -0,0 +1,48 @@
+/* Please see documentation at https://learn.microsoft.com/aspnet/core/client-side/bundling-and-minification
+for details on configuring this project to bundle and minify static web assets. */
+
+a.navbar-brand {
+ white-space: normal;
+ text-align: center;
+ word-break: break-all;
+}
+
+a {
+ color: #0077cc;
+}
+
+.btn-primary {
+ color: #fff;
+ background-color: #1b6ec2;
+ border-color: #1861ac;
+}
+
+.nav-pills .nav-link.active, .nav-pills .show > .nav-link {
+ color: #fff;
+ background-color: #1b6ec2;
+ border-color: #1861ac;
+}
+
+.border-top {
+ border-top: 1px solid #e5e5e5;
+}
+.border-bottom {
+ border-bottom: 1px solid #e5e5e5;
+}
+
+.box-shadow {
+ box-shadow: 0 .25rem .75rem rgba(0, 0, 0, .05);
+}
+
+button.accept-policy {
+ font-size: 1rem;
+ line-height: inherit;
+}
+
+.footer {
+ position: absolute;
+ bottom: 0;
+ width: 100%;
+ white-space: nowrap;
+ line-height: 60px;
+}
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Shared/_ValidationScriptsPartial.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Shared/_ValidationScriptsPartial.cshtml
new file mode 100644
index 0000000..660f00c
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Shared/_ValidationScriptsPartial.cshtml
@@ -0,0 +1,2 @@
+
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Summarization.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Summarization.cshtml
new file mode 100644
index 0000000..57aba99
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Summarization.cshtml
@@ -0,0 +1,37 @@
+@page
+@using Microsoft.AspNetCore.Mvc.TagHelpers
+@model TextSummarizationModel
+@{
+ ViewData["Title"] = "Text summarization";
+}
+
+
+
\ No newline at end of file
diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Summarization.cshtml.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Summarization.cshtml.cs
new file mode 100644
index 0000000..4928798
--- /dev/null
+++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/Summarization.cshtml.cs
@@ -0,0 +1,206 @@
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.AspNetCore.Mvc.RazorPages;
+using System.Text.Json;
+using Amazon.BedrockRuntime;
+using Amazon;
+using Amazon.BedrockRuntime.Model;
+using Amazon.Textract;
+using Amazon.Textract.Model;
+using Amazon.Util;
+
+namespace AIServicesDemoApp.Pages
+{
+ public class TextSummarizationModel(IAmazonTextract textractClient, IWebHostEnvironment hostEnvironment)
+ : PageModel
+ {
+ [BindProperty]
+ public IFormFile? FormFile { get; set; }
+ public string FileName { get; set; } = string.Empty;
+ public string Result { get; set; } = string.Empty;
+
+ public void OnGet()
+ {
+ }
+
+ public async Task OnPostGenerateSummaryWithTextractAsync()
+ {
+ if (FormFile == null)
+ {
+ return;
+ }
+ // save document image to display it
+ var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath);
+ FileName = formDocument.FileName;
+
+ // detect document text
+ var detectDocumentTextRequest = new DetectDocumentTextRequest()
+ {
+ Document = new Document { Bytes = formDocument.MemoryStream }
+ };
+
+ var detectDocumentTextResponse = await textractClient.DetectDocumentTextAsync(detectDocumentTextRequest);
+
+ var stringBuilder = new StringBuilder();
+
+ foreach (var block in detectDocumentTextResponse.Blocks)
+ {
+ if (block.BlockType.Value == "LINE")
+ {
+ stringBuilder.AppendFormat("{0} ", block.Text);
+ }
+ }
+
+ var text = stringBuilder.ToString();
+ stringBuilder.Clear();
+
+ var runtime = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1);
+
+ var bedrockRequest = new MyBedrockRequest
+ {
+ messages = [new MyBedrockMessage { content = [new MyBedrockContent { text = "Summarize in 5 bullet points, format as HTML list: " + text}]}]
+ };
+
+ var request = new InvokeModelRequest
+ {
+ ModelId = "anthropic.claude-3-sonnet-20240229-v1:0",
+ Accept = "*/*",
+ ContentType = "application/json",
+ Body = AWSSDKUtils.GenerateMemoryStreamFromString(JsonSerializer.Serialize(bedrockRequest))
+
+ };
+
+ var response = await runtime.InvokeModelAsync(request);
+
+ var bedrockResponse = JsonSerializer.DeserializeGenerate summary
+ + + +
+
+
+
+
+
+ @if (!string.IsNullOrEmpty(Model.FileName))
+ {
+
+ }
+
+
+ }
+
+ @Html.Raw(Model.Result)
+
+ "); + stringBuilder.AppendLine("==========================
"); + + stringBuilder.AppendLine(summary); + + stringBuilder.AppendLine("
==========================
"); + stringBuilder.AppendLine("Raw text:
"); + stringBuilder.AppendLine(text); + + Result = stringBuilder.ToString(); + } + + public async Task OnPostGenerateSummaryAsync() + { + if (FormFile == null) + { + return; + } + // save document image to display it + var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath); + FileName = formDocument.FileName; + + var runtime = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1); + + // Interpolated raw string literals + string json = + $$""" + { + "anthropic_version": "bedrock-2023-05-31", + "max_tokens": 500, + "messages": [ + { + "role": "user", + "content": [ + { + "type": "image", + "source": { + "type": "base64", + "media_type": "image/jpeg", + "data": "{{formDocument.MemoryStream.AsBase64String()}}" + } + }, + { + "type": "text", + "text": "Summarize in 5 bullet points, format as HTML list" + } + ] + } + ] + } + """; + + var request = new InvokeModelRequest + { + ModelId = "anthropic.claude-3-sonnet-20240229-v1:0", + Accept = "*/*", + ContentType = "application/json", + Body = AWSSDKUtils.GenerateMemoryStreamFromString(json) + }; + + var response = await runtime.InvokeModelAsync(request); + + var bedrockResponse = JsonSerializer.Deserialize
"); + stringBuilder.AppendLine("==========================
"); + stringBuilder.AppendLine(summary); + + Result = stringBuilder.ToString(); + } + + public async Task OnPostGenerateSummaryConverseAsync() + { + if (FormFile == null) + { + return; + } + // save document image to display it + var formDocument = await Helpers.SaveImage(FormFile, hostEnvironment.WebRootPath); + FileName = formDocument.FileName; + + var runtime = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1); + + var request = new ConverseRequest + { + ModelId = "anthropic.claude-3-sonnet-20240229-v1:0", + Messages = + [ + new Message + { + Role = ConversationRole.User, + Content = + [ + new ContentBlock + { + Text = "Summarize in 5 bullet points, format as HTML list" + }, + new ContentBlock + { + Image = new ImageBlock + { + Format = ImageFormat.Jpeg, + Source = new ImageSource { Bytes = formDocument.MemoryStream } + } + } + ] + } + ], + InferenceConfig = new InferenceConfiguration() + { + MaxTokens = 512, + Temperature = 1, + TopP = 0.999F + } + }; + + var response = await runtime.ConverseAsync(request); + var summary = response?.Output?.Message?.Content?[0]?.Text ?? ""; + + var stringBuilder = new StringBuilder(); + stringBuilder.AppendLine("Summary:
"); + stringBuilder.AppendLine("==========================
"); + stringBuilder.AppendLine(summary); + + Result = stringBuilder.ToString(); + } + } +} diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/_ViewImports.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/_ViewImports.cshtml new file mode 100644 index 0000000..afb0315 --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/_ViewImports.cshtml @@ -0,0 +1,3 @@ +@using AIServicesDemoApp +@namespace AIServicesDemoApp.Pages +@addTagHelper *, Microsoft.AspNetCore.Mvc.TagHelpers \ No newline at end of file diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/_ViewStart.cshtml b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/_ViewStart.cshtml new file mode 100644 index 0000000..1af6e49 --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Pages/_ViewStart.cshtml @@ -0,0 +1,3 @@ +@{ + Layout = "_Layout"; +} \ No newline at end of file diff --git a/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Program.cs b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Program.cs new file mode 100644 index 0000000..acd7389 --- /dev/null +++ b/SampleApplications/2024/IntelligentDocumentProcessing/AIServicesDemoApp/Program.cs @@ -0,0 +1,36 @@ +using Amazon.Comprehend; +using Amazon.Rekognition; +using Amazon.Textract; +using Amazon.Translate; + +var builder = WebApplication.CreateBuilder(args); + +// Add services to the container. +builder.Services.AddRazorPages(); + +// Add AI Services +builder.Services.AddAWSService
`-`` all receive top and bottom margins. We nuke the top\n// margin for easier control within type scales as it avoids margin collapsing.\n\n%heading {\n margin-top: 0; // 1\n margin-bottom: $headings-margin-bottom;\n font-family: $headings-font-family;\n font-style: $headings-font-style;\n font-weight: $headings-font-weight;\n line-height: $headings-line-height;\n color: $headings-color;\n}\n\nh1 {\n @extend %heading;\n @include font-size($h1-font-size);\n}\n\nh2 {\n @extend %heading;\n @include font-size($h2-font-size);\n}\n\nh3 {\n @extend %heading;\n @include font-size($h3-font-size);\n}\n\nh4 {\n @extend %heading;\n @include font-size($h4-font-size);\n}\n\nh5 {\n @extend %heading;\n @include font-size($h5-font-size);\n}\n\nh6 {\n @extend %heading;\n @include font-size($h6-font-size);\n}\n\n\n// Reset margins on paragraphs\n//\n// Similarly, the top margin on `
`s get reset. However, we also reset the\n// bottom margin to use `rem` units instead of `em`.\n\np {\n margin-top: 0;\n margin-bottom: $paragraph-margin-bottom;\n}\n\n\n// Abbreviations\n//\n// 1. Duplicate behavior to the data-bs-* attribute for our tooltip plugin\n// 2. Add the correct text decoration in Chrome, Edge, Opera, and Safari.\n// 3. Add explicit cursor to indicate changed behavior.\n// 4. Prevent the text-decoration to be skipped.\n\nabbr[title],\nabbr[data-bs-original-title] { // 1\n text-decoration: underline dotted; // 2\n cursor: help; // 3\n text-decoration-skip-ink: none; // 4\n}\n\n\n// Address\n\naddress {\n margin-bottom: 1rem;\n font-style: normal;\n line-height: inherit;\n}\n\n\n// Lists\n\nol,\nul {\n padding-left: 2rem;\n}\n\nol,\nul,\ndl {\n margin-top: 0;\n margin-bottom: 1rem;\n}\n\nol ol,\nul ul,\nol ul,\nul ol {\n margin-bottom: 0;\n}\n\ndt {\n font-weight: $dt-font-weight;\n}\n\n// 1. Undo browser default\n\ndd {\n margin-bottom: .5rem;\n margin-left: 0; // 1\n}\n\n\n// Blockquote\n\nblockquote {\n margin: 0 0 1rem;\n}\n\n\n// Strong\n//\n// Add the correct font weight in Chrome, Edge, and Safari\n\nb,\nstrong {\n font-weight: $font-weight-bolder;\n}\n\n\n// Small\n//\n// Add the correct font size in all browsers\n\nsmall {\n @include font-size($small-font-size);\n}\n\n\n// Mark\n\nmark {\n padding: $mark-padding;\n background-color: $mark-bg;\n}\n\n\n// Sub and Sup\n//\n// Prevent `sub` and `sup` elements from affecting the line height in\n// all browsers.\n\nsub,\nsup {\n position: relative;\n @include font-size($sub-sup-font-size);\n line-height: 0;\n vertical-align: baseline;\n}\n\nsub { bottom: -.25em; }\nsup { top: -.5em; }\n\n\n// Links\n\na {\n color: $link-color;\n text-decoration: $link-decoration;\n\n &:hover {\n color: $link-hover-color;\n text-decoration: $link-hover-decoration;\n }\n}\n\n// And undo these styles for placeholder links/named anchors (without href).\n// It would be more straightforward to just use a[href] in previous block, but that\n// causes specificity issues in many other styles that are too complex to fix.\n// See https://github.com/twbs/bootstrap/issues/19402\n\na:not([href]):not([class]) {\n &,\n &:hover {\n color: inherit;\n text-decoration: none;\n }\n}\n\n\n// Code\n\npre,\ncode,\nkbd,\nsamp {\n font-family: $font-family-code;\n @include font-size(1em); // Correct the odd `em` font sizing in all browsers.\n direction: ltr #{\"/* rtl:ignore */\"};\n unicode-bidi: bidi-override;\n}\n\n// 1. Remove browser default top margin\n// 2. Reset browser default of `1em` to use `rem`s\n// 3. Don't allow content to break outside\n\npre {\n display: block;\n margin-top: 0; // 1\n margin-bottom: 1rem; // 2\n overflow: auto; // 3\n @include font-size($code-font-size);\n color: $pre-color;\n\n // Account for some code outputs that place code tags in pre tags\n code {\n @include font-size(inherit);\n color: inherit;\n word-break: normal;\n }\n}\n\ncode {\n @include font-size($code-font-size);\n color: $code-color;\n word-wrap: break-word;\n\n // Streamline the style when inside anchors to avoid broken underline and more\n a > & {\n color: inherit;\n }\n}\n\nkbd {\n padding: $kbd-padding-y $kbd-padding-x;\n @include font-size($kbd-font-size);\n color: $kbd-color;\n background-color: $kbd-bg;\n @include border-radius($border-radius-sm);\n\n kbd {\n padding: 0;\n @include font-size(1em);\n font-weight: $nested-kbd-font-weight;\n }\n}\n\n\n// Figures\n//\n// Apply a consistent margin strategy (matches our type styles).\n\nfigure {\n margin: 0 0 1rem;\n}\n\n\n// Images and content\n\nimg,\nsvg {\n vertical-align: middle;\n}\n\n\n// Tables\n//\n// Prevent double borders\n\ntable {\n caption-side: bottom;\n border-collapse: collapse;\n}\n\ncaption {\n padding-top: $table-cell-padding-y;\n padding-bottom: $table-cell-padding-y;\n color: $table-caption-color;\n text-align: left;\n}\n\n// 1. Removes font-weight bold by inheriting\n// 2. Matches default `