ChatGPT

Generating AI-Powered Chat Responses with ChatGpt Plugin

Have you ever wanted to enhance your PDF documents with AI-generated chat responses? Look no further! In this guide, we’ll walk you through the process of integrating the powerful ChatGpt plugin into your C# application. With just a few simple steps, you’ll be generating engaging chat responses effortlessly.

Prerequisites

You will need the following:

  • Visual Studio 2019 or later
  • Aspose.PDF for .NET 24.1 or later
  • A sample PDF file

Steps

1. Creating an Object

Let’s start by creating an object for our chat generation task. The provided C# code snippet demonstrates how to set up options for the PdfChatGpt plugin.

// Create options for the ChatGPT plugin.
var options = new PdfChatGptRequestOptions();

2. Adding a Data Source

Next, we need to add a data source, which in this case, is the input PDF file that contains the text you want to enhance with AI-generated chat responses.

// Add input PDF file to the options.
options.AddInput(new FileDataSource("c:\\Samples\\sample.pdf"));

// Add output PDF file to the options.
options.AddOutput(new FileDataSource("c:\\Samples\\chat_results.pdf"));

In the code snippet above, we’re specifying the input PDF file path and the output path where the enhanced PDF with chat responses will be saved.

3. Running the Process Method

Now, let’s put everything into action by running the process method. This is where the magic happens – the AI-powered ChatGPT model generates chat responses based on the provided query and text.

// Set the API key for authentication.
options.ApiKey = "sk-******";

// Set the maximum number of tokens for the ChatGPT model.
options.MaxTokens = 1000;

// Set the query for the ChatGPT model.
options.Query = "What are the best keywords for this text?";

// Create an instance of the PdfChatGpt plugin.
var plugin = new PdfChatGpt();

// Process the PDF document using the ChatGPT plugin.
var result = await plugin.ProcessAsync(options);

With these lines of code, we’re configuring authentication, setting parameters for the ChatGPT model, and initiating the chat generation process.

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