Search⌘ K
Home
Courses
Using OpenAI API for Natural Language Processing in JavaScript

Generation

Explore how to generate both text and code using the OpenAI API's completions endpoint. Learn to adjust parameters like temperature, max tokens, and penalties to create diverse and focused outputs. Discover practical uses such as building AI chatbots that offer natural conversations and assistance.

We'll cover the following...

Overview

The OpenAI models are also great at generating code and text as they have been trained on a large amount of data from different resources.

Generation
Generation

We input the prompt text and request parameters into the OpenAI API's model to generate both text and code.

Completions: text generation
Completions: text generation

Generate text

Now that we have learned about how OpenAI API’s model work, we can utilize the following prompt to generate new ideas about deep learning and images:

Brainstorm some ideas combining deep learning and images:

Example

Let’s try the above example in the code widget below:

Javascript (babel-node)
// Define endpoint URL here
const endpointUrl = "https://api.openai.com/v1/chat/completions";
// Define Header Parameters here
const headerParameters = {
  "Authorization": "Bearer {{SECRET_KEY}}",
  "Content-Type": "application/json"
};
// Body Parameters
const bodyParameters = JSON.stringify({
    model: "gpt-3.5-turbo",
    messages: [{ role: "system", content: "You are a helpful assistant." }],
    messages: [{ role: "user", content: "Brainstorm some ideas combining deep learning and images." }],
    temperature: 0.75,
    max_tokens: 200,
    top_p: 1.0,
    frequency_penalty: 1,
    presence_penalty: 1
});
// Set API call options
const options = {
  method: "POST",
  headers: headerParameters,
  body: bodyParameters
};
// Function to make API call
async function generateCompletion() {
  try {
    const response = await fetch(`${endpointUrl}`, options);
    // Print the  response
    printResponse(response);
  } catch (error) {
    // Print the  error message
    printError(error);
  }
}
// Call the function to make the API call.
generateCompletion();

In the code above, we use ...