Added smart document summarization sample

AI Demos/Summarizer/.vs/Summarizer/v17/DocumentLayout.json

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+              "EditorCaption": ""
+            },
+            {
+              "$type": "Document",
+              "DocumentIndex": 3,
+              "Title": "PdfViewerViewModel.cs",
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+              "EditorCaption": ""
+            },
+            {
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+              "DocumentIndex": 4,
+              "Title": "AssistServices.cs",
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+              "EditorCaption": ""
+            },
+            {
+              "$type": "Document",
+              "DocumentIndex": 5,
+              "Title": "Summarizer",
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+          ]
+        }
+      ]
+    }
+  ]
+}

AI Demos/Summarizer/Summarizer.sln

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+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 17
+VisualStudioVersion = 17.10.35122.118
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Summarizer", "Summarizer\Summarizer.csproj", "{CD42BBF8-9F64-4E6F-BB42-F00ED07A35C1}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Any CPU = Debug|Any CPU
+		Release|Any CPU = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{CD42BBF8-9F64-4E6F-BB42-F00ED07A35C1}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{CD42BBF8-9F64-4E6F-BB42-F00ED07A35C1}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{CD42BBF8-9F64-4E6F-BB42-F00ED07A35C1}.Debug|Any CPU.Deploy.0 = Debug|Any CPU
+		{CD42BBF8-9F64-4E6F-BB42-F00ED07A35C1}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{CD42BBF8-9F64-4E6F-BB42-F00ED07A35C1}.Release|Any CPU.Build.0 = Release|Any CPU
+		{CD42BBF8-9F64-4E6F-BB42-F00ED07A35C1}.Release|Any CPU.Deploy.0 = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {A2477ADB-5676-475F-A831-8327EC2C8B92}
+	EndGlobalSection
+EndGlobal

AI Demos/Summarizer/Summarizer/App.xaml

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+<?xml version = "1.0" encoding = "UTF-8" ?>
+<Application xmlns="http://schemas.microsoft.com/dotnet/2021/maui"
+             xmlns:x="http://schemas.microsoft.com/winfx/2009/xaml"
+             xmlns:local="clr-namespace:Summarizer"
+             x:Class="Summarizer.App">
+    <Application.Resources>
+        <ResourceDictionary>
+            <ResourceDictionary.MergedDictionaries>
+                <ResourceDictionary Source="Resources/Styles/Colors.xaml" />
+                <ResourceDictionary Source="Resources/Styles/Styles.xaml" />
+            </ResourceDictionary.MergedDictionaries>
+        </ResourceDictionary>
+    </Application.Resources>
+</Application>

AI Demos/Summarizer/Summarizer/App.xaml.cs

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+namespace Summarizer
+{
+    public partial class App : Application
+    {
+        public App()
+        {
+            InitializeComponent();
+
+            MainPage = new AppShell();
+        }
+    }
+}

AI Demos/Summarizer/Summarizer/AppShell.xaml

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+<?xml version="1.0" encoding="UTF-8" ?>
+<Shell
+    x:Class="Summarizer.AppShell"
+    xmlns="http://schemas.microsoft.com/dotnet/2021/maui"
+    xmlns:x="http://schemas.microsoft.com/winfx/2009/xaml"
+    xmlns:local="clr-namespace:Summarizer"
+    Shell.FlyoutBehavior="Disabled"
+    Title="Summarizer">
+
+    <ShellContent
+        Title="Home"
+        ContentTemplate="{DataTemplate local:MainPage}"
+        Route="MainPage" />
+
+</Shell>

AI Demos/Summarizer/Summarizer/AppShell.xaml.cs

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+namespace Summarizer
+{
+    public partial class AppShell : Shell
+    {
+        public AppShell()
+        {
+            InitializeComponent();
+        }
+    }
+}

AI Demos/Summarizer/Summarizer/AssistServices.cs

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+using Syncfusion.Maui.AIAssistView;
+using System.Collections.ObjectModel;
+using Azure.AI.OpenAI;
+using Azure;
+
+namespace Summarizer
+{
+    /// <summary>
+    /// Represents a class providing AI assistance services for text extraction, 
+    /// prompt generation, and chat completion functionalities using OpenAI's GPT model.
+    /// </summary>
+    internal class AssistServices
+    {
+
+        /// <summary>
+        /// Gets or sets the extracted text from a document.
+        /// </summary>
+        internal string? ExtractedText { get; set; }
+
+        /// <summary>
+        /// The EndPoint
+        /// </summary>
+        private const string endpoint = "https://blazorpdf-ai.openai.azure.com/";
+
+        /// <summary>
+        /// The Deployment name
+        /// </summary>
+        internal string deploymentName = "gpt-4-0";
+
+        /// <summary>
+        /// The API key
+        /// </summary>
+        private const string key = "7f164d6ba53e4df784ecddabbf73d5a8";
+
+        /// <summary>
+        /// The AzureOpenAI client
+        /// </summary>
+        internal OpenAIClient? client;
+
+        /// <summary>
+        /// The ChatCompletion option
+        /// </summary>
+        private ChatCompletionsOptions? chatCompletions;
+
+        internal AssistServices()
+        {
+            chatCompletions = new ChatCompletionsOptions
+            {
+                DeploymentName = deploymentName,
+                Temperature = (float)1.2f,
+                NucleusSamplingFactor = (float)0.9,
+                FrequencyPenalty = 0.8f,
+                PresencePenalty = 0.8f
+            };
+            client = new OpenAIClient(new Uri(endpoint), new AzureKeyCredential(key));
+        }
+
+        /// <summary>
+        /// Generates a static prompt message.
+        /// </summary>
+        /// <param name="prompt">The input prompt string.</param>
+        /// <returns>A predefined message requesting OpenAI connection for real-time queries.</returns>
+        internal async Task<string> GetPrompt(string prompt)
+        {
+            if (client != null && chatCompletions != null && key!= "AI_KEY")
+            {
+                chatCompletions.Messages.Clear();
+                chatCompletions.Messages.Add(new ChatRequestSystemMessage("Please provide the prompt for responce" + prompt));
+                chatCompletions.Messages.Add(new ChatRequestUserMessage(prompt));
+                var response = await client.GetChatCompletionsAsync(chatCompletions);
+                return response.Value.Choices[0].Message.Content;
+            }
+            else
+            {
+                return "Please connect OpenAI for real time queries";
+            }
+        }
+
+        /// <summary>
+        /// Gets a solution to a given prompt by using either local embeddings or extracted text,
+        /// depending on the platform.
+        /// </summary>
+        /// <param name="question">The user's question to be processed.</param>
+        /// <returns>A task representing the asynchronous operation, with a solution string as the result.</returns>
+        internal async Task<string> GetSolutionToPrompt(string question)
+        {
+            try
+            {
+                // Use extracted text
+                if (ExtractedText != null && client != null && chatCompletions != null && key != "AI_KEY")
+                {
+                    string message = ExtractedText;
+                    var systemPrompt = "You are a helpful assistant. Use the provided PDF document pages and pick a precise page to answer the user question,Ignore about iTextSharp related points in the details, Strictly don't bold any text all text need to plain text. Pages: " + message;
+                    chatCompletions.Messages.Clear();
+                    chatCompletions.Messages.Add(new ChatRequestSystemMessage(systemPrompt));
+                    chatCompletions.Messages.Add(new ChatRequestUserMessage(question));
+                    var response = await client.GetChatCompletionsAsync(chatCompletions);
+                    return response.Value.Choices[0].Message.Content;
+                }
+                return "Please connect OpenAI for real time queries";
+            }
+            catch
+            {
+                return "Please connect OpenAI for real time queries";
+            }
+        }
+
+        /// <summary>
+        /// Generates suggestions based on a given prompt.
+        /// </summary>
+        /// <param name="prompt">The input prompt string.</param>
+        /// <returns>A task representing the asynchronous operation, with an <see cref="AssistItemSuggestion"/> object as the result.</returns>
+        internal async Task<AssistItemSuggestion> GetSuggestion(string prompt)
+        {
+            var chatSuggestions = new AssistItemSuggestion();
+
+            var suggestions = new ObservableCollection<ISuggestion>();
+            var suggestion = await GetAnswerFromGPT("You are a helpful assistant. Your task is to analyze the provided text and generate 3 short diverse questions and each question should not exceed 10 words.");
+            if (suggestion != "Please connect OpenAI for real time queries")
+            {
+                string[] parts = suggestion.Split(new string[] { "1. ", "2. ", "3. " }, StringSplitOptions.RemoveEmptyEntries);
+                // Store the parts in separate variables
+                string question1 = parts.Length > 0 ? parts[0].Trim() : string.Empty;
+                string question2 = parts.Length > 1 ? parts[1].Trim() : string.Empty;
+                string question3 = parts.Length > 2 ? parts[2].Trim() : string.Empty;
+                suggestions.Add(new AssistSuggestion() { Text = question1 });
+                suggestions.Add(new AssistSuggestion() { Text = question2 });
+                suggestions.Add(new AssistSuggestion() { Text = question3 });
+                chatSuggestions.Items = suggestions;
+            }
+            return chatSuggestions;
+        }
+
+        /// <summary>
+        /// Gets an answer from the GPT model using only a system prompt.
+        /// </summary>
+        /// <param name="systemPrompt">The system prompt to guide the AI.</param>
+        /// <returns>A task representing the asynchronous operation, with the answer string as the result.</returns>
+        internal async Task<string> GetAnswerFromGPT(string systemPrompt)
+        {
+            try
+            {
+                if (ExtractedText != null && chatCompletions != null && client != null && key != "AI_KEY")
+                {
+                    chatCompletions.Messages.Clear();
+                    chatCompletions.Messages.Add(new ChatRequestSystemMessage(systemPrompt));
+                    chatCompletions.Messages.Add(new ChatRequestUserMessage(ExtractedText));
+                    var response = await client.GetChatCompletionsAsync(chatCompletions);
+                    return response.Value.Choices[0].Message.Content;
+                }
+                else
+                {
+                    return "Please connect OpenAI for real time queries";
+                }
+            }
+            catch
+            {
+                return "Please connect OpenAI for real time queries";
+            }
+        }
+    }
+}