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+# Using AI, Microsoft AI Extensions Library and OpenAI to Summarize User Comments
+
+Either you are building an e-commerce application or a simple blog, **user comments** (about your products or blog posts) **can grow rapidly**, making it harder for users to get the gist of discussions at a glance. AI is a pretty good tool to solve the problem. By using AI, you can **summarize all the user comments** and show a single paragraph to your users, so they can easily understand the overall thought of users about the product or the blog post.
+
+In this tutorial, we’ll walk through a real-life implementation of using AI to summarize multiple user comments in an application. I will implement the solution based on ABP's **[CMS Kit](https://abp.io/docs/latest/modules/cms-kit)** library, as it already features a **[commenting system](https://abp.io/docs/latest/modules/cms-kit/comments)** and a [demo application](https://cms-kit-demo.abpdemo.com/) that displays user comments on **[gallery images](https://cms-kit-demo.abpdemo.com/image-gallery)** (it has not a comment summary feature yet, we will implement it in this tutorial).
+
+## A Screenshot
+
+Here, an example screenshot from the application with the comment summary feature:
+
+![comment-example](D:\Github\abp\docs\en\Community-Articles\2025-04-25-AI-Comment-Summarization\comment-example.png)
+
+## Cloning the Repository
+
+If you want to follow the development, you can clone the [CMS Kit Demo repository](https://github.com/abpframework/cms-kit-demo) to your computer and make it running by following the instructions on the [README file](https://github.com/abpframework/cms-kit-demo?tab=readme-ov-file#cms-kit-demo).
+
+I suggest to you to play a little with [the application](https://cms-kit-demo.abpdemo.com/) (create a new user for yourself, add some comments to the images in the gallery), so you understand how it works.
+
+Preparing the Solution for AI
+
+Let's start from the most important point of this article: Comment summarization.
+
+I will use [Microsoft AI Extensions Library](https://learn.microsoft.com/en-us/dotnet/ai/ai-extensions) to use the AI features. It is an abstraction library that can work with multiple AI models and tools. I will use an OpenAI model in the demo.
+
+The first step is to add the [Microsoft.Extensions.AI.OpenAI](http://nuget.org/packages/Microsoft.Extensions.AI.OpenAI) NuGet package to the project:
+
+````bash
+dotnet add package Microsoft.Extensions.AI.OpenAI --prerelease
+````
+
+>The Microsoft AI Extensions Library was in preview at the time when I wrote this article. If it has a stable release now, you can remove the `--prerelease` parameter for the preceding command.
+
+We will store the OpenAI key and model name in user secrets. So, locate the root path of the CMS Kit project (`src\CmsKitDemo` folder) and execute the following commands in order in a command-line terminal:
+
+````bash
+dotnet user-secrets init
+dotnet user-secrets set OpenAIKey <your-openai-key>
+dotnet user-secrets set ModelName <your-openai-model-name>
+````
+
+For this example, you need to have an [OpenAI API Key](https://platform.openai.com/). That's all. Now, we are ready to use the AI.
+
+## Implementing the AI Summarization
+
+I will create a class named `AiCommentSummarizer` to implement the summarization work. Here, the full content of that class:
+
+````csharp
+using System.Text;
+using Microsoft.Extensions.AI;
+using OpenAI;
+using Volo.Abp.DependencyInjection;
+
+namespace CmsKitDemo.Utils;
+
+public class AiCommentSummarizer : ITransientDependency
+{
+    private readonly IConfiguration _configuration;
+
+    public AiCommentSummarizer(IConfiguration configuration)
+    {
+        _configuration = configuration;
+    }
+    
+    public async Task<string> SummarizeAsync(string[] commentTexts)
+    {
+        // Get the model and key from the configuration
+        var aiModel = _configuration["ModelName"];
+        var apiKey = _configuration["OpenAIKey"];
+
+        if (aiModel.IsNullOrEmpty() || apiKey.IsNullOrEmpty())
+        {
+            return "";
+        }
+
+        // Create the IChatClient
+        var client = new OpenAIClient(apiKey)
+            .GetChatClient(aiModel)
+            .AsIChatClient();
+
+        // Create a prompt (input for AI)
+        var promptBuilder = new StringBuilder();
+
+        promptBuilder.AppendLine(
+            @"There are comments from different users of our website about an image.
+We want to summarize the comments into a single comment.
+Return a single comment with a maximum of 512 characters. Comments are separated by a newline character and given below."
+        );
+        promptBuilder.AppendLine();
+        
+        foreach (var commentText in commentTexts)
+        {
+            promptBuilder.AppendLine("User comment:");
+            promptBuilder.AppendLine(commentText);
+            promptBuilder.AppendLine();
+        }
+        
+        // Submit the prompt and get the response
+        var response = await client.GetResponseAsync(
+            promptBuilder.ToString(),
+            new ChatOptions { MaxOutputTokens = 1024 }
+        );
+
+        return response.Text;
+    }
+}
+````
+
+That class is pretty simple and already decorated with comments:
+
+* First, we are getting the API Key and an OpenAI model name from user secrets. I used `gpt-4.1` as the model name, but you can use another available model.
+* Then we are obtaining an `IChatClient` reference for OpenAI. `IChatClient` interface is an abstraction that is provided by the [Microsoft AI Extensions Library](https://learn.microsoft.com/en-us/dotnet/ai/ai-extensions) library, so we can implement rest of the code independently from OpenAI.
+* Then we continue by building a proper prompt (input) for the AI operation.
+* And finally we are using the AI to generate a response (the summary).
+
+At this point, all the AI-related work has already been done. The rest of this article explains how to integrate that summarization feature with the [CMS Kit Demo application](https://cms-kit-demo.abpdemo.com/).
+