Enhance Texts with Artificial Intelligence using GPT-3 in .NET

Enhance Texts with Artificial Intelligence using GPT-3 in .NET

In this article, we will implement a feature in a .NET Core application that utilizes the artificial intelligence of the OpenAI GPT-3 API to suggest text improvements. By the end, you will be able to integrate an AI feature that makes texts more engaging and impactful.

Prerequisites

  1. .NET Core SDK installed on your machine.
  2. OpenAI API Key. You can get one by signing up on the OpenAI website.

Step 1: Setting Up the .NET Core Project

First, create a new .NET Core web application:

dotnet new webapi -n TextEnhancer
cd TextEnhancer        

Step 2: Installing Necessary NuGet Packages

We will need HttpClient for making API calls and Newtonsoft.Json for handling JSON responses. Install these packages:

dotnet add package Microsoft.Extensions.Http
dotnet add package Newtonsoft.Json        

Step 3: Creating the API Service

Create a service to interact with the GPT-3 API. Add a new folder Services and create a Gpt3Service.cs class inside it:

using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
using Newtonsoft.Json;

namespace TextEnhancer.Services
{
    public class Gpt3Service
    {
        private readonly HttpClient _httpClient;
        private readonly string _apiKey;

        public Gpt3Service(HttpClient httpClient, string apiKey)
        {
            _httpClient = httpClient;
            _apiKey = apiKey;
        }

        public async Task<string> EnhanceTextAsync(string text)
        {
            var requestBody = new
            {
                prompt = $"Improve the following text: {text}",
                max_tokens = 60
            };

            var content = new StringContent(JsonConvert.SerializeObject(requestBody),        Encoding.UTF8, "application/json");
            _httpClient.DefaultRequestHeaders.Add("Authorization", $"Bearer {_apiKey}");

            var response = await       _httpClient.PostAsync("https://api.openai.com/v1/engines/davinci-        codex/completions", content);

            response.EnsureSuccessStatusCode();
 
            var responseContent = await response.Content.ReadAsStringAsync();
            dynamic result = JsonConvert.DeserializeObject(responseContent);

            return result.choices[0].text.Trim();
        }
    }
}        

Step 4: Configuring the API Key

Add your OpenAI API key to appsettings.json:

{
  "OpenAI": {
    "ApiKey": "YOUR_API_KEY"
  }
}        

Then, load this configuration in Startup.cs:

public void ConfigureServices(IServiceCollection services)
{
    services.AddHttpClient<Gpt3Service>((sp, client) =>
    {
        var apiKey = Configuration["OpenAI:ApiKey"];
        return new Gpt3Service(client, apiKey);
    });
    services.AddControllers();
}        

Step 5: Creating the Controller

Create a new controller TextController.cs to handle the request and use the Gpt3Service:

using Microsoft.AspNetCore.Mvc;
using TextEnhancer.Services;
using System.Threading.Tasks;

namespace TextEnhancer.Controllers
{
    [ApiController]
    [Route("api/[controller]")]
    public class TextController : ControllerBase
    {
        private readonly Gpt3Service _gpt3Service;

        public TextController(Gpt3Service gpt3Service)
        {
            _gpt3Service = gpt3Service;
        }

        [HttpPost("enhance-text")]
        public async Task<IActionResult> EnhanceText([FromBody] string text)
        {
            var enhancedText = await _gpt3Service.EnhanceTextAsync(text);
            return Ok(new { originalText = text, enhancedText });
        }
    }
}        

Step 6: Testing the API

Run your application:

dotnet run        

Send a POST request to https://localhost:5000/api/text/enhance-text with a JSON body containing the text you want to enhance:

{
  "text": "Today was a good day."
}        

You should receive a response with the original text and the enhanced text:

{
  "originalText": "Today was a good day.",
  "enhancedText": "Today was an exceptional day, filled with achievements and pleasant moments."
}        

Conclusion

By following these steps, you have integrated the artificial intelligence of the OpenAI GPT-3 API into a .NET Core application to enhance texts. This example can be further expanded to include more advanced features and configurations, making your application more dynamic and engaging.


#ArtificialIntelligence #GPT3 #OpenAI #SoftwareDevelopment #DotNetCore #APIs #TextEnhancement

Wellington Araújo

Senior Software Engineer | Solution Architect | Developer | Java | Angular | Spring Boot | Microservices | Full-stack

8 个月

I'll keep this in mind

Gerald Hamilton Wicks

Full Stack Engineer | React | Node | JavaScript | Typescript | Next | MERN Developer

8 个月

Awesome guide! Integrating GPT-3 with .NET Core to enhance text sounds like a game-changer for creating engaging content. ??

Lucas Wolff

.NET Developer | C# | TDD | Angular | Azure | SQL

8 个月

Insightful!

Vitor Raposo

Data Engineer | Azure/AWS | Python & SQL Specialist | ETL & Data Pipeline Expert

8 个月

Great read!

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