chtGPT javascript openAI API 사용법

JavaScript에서 chatGPT API를 사용하려면 Axios나 내장 함수인 fetch를 사용하는 것과 같은 HTTP 라이브러리가 필요합니다.

Axios 라이브러리를 사용한 chatGPT API 예제

const axios = require('axios');

// Replace YOUR_API_KEY with your actual API key
const apiKey = 'YOUR_API_KEY';

// Set the model engine to use (in this case, chatGPT)
const modelEngine = 'text-davinci-002';

// Set the prompt (the input to the model)
const prompt = 'Hello, how are you today?';

// Set the maximum number of tokens (words) to generate in the response
const maxTokens = 1024;

// Set the temperature parameter (controls the randomness of the response)
const temperature = 0.5;

async function generateResponse() {
  try {
    // Make a POST request to the completions API
    const response = await axios.post(
      'https://api.openai.com/v1/completions',
      {
        model: modelEngine,
        prompt,
        max_tokens: maxTokens,
        temperature,
      },
      {
        headers: {
          Authorization: `Bearer ${apiKey}`,
        },
      }
    );

    // Print the response
    console.log(response.data.choices[0].text);
  } catch (error) {
    console.error(error);
  }
}

generateResponse();

다음은 fetch 기능과 함께 chatGPT API를 사용하는 예입니다.

// Replace YOUR_API_KEY with your actual API key
const apiKey = 'YOUR_API_KEY';

// Set the model engine to use (in this case, chatGPT)
const modelEngine = 'text-davinci-002';

// Set the prompt (the input to the model)
const prompt = 'Hello, how are you today?';

// Set the maximum number of tokens (words) to generate in the response
const maxTokens = 1024;

// Set the temperature parameter (controls the randomness of the response)
const temperature = 0.5;

async function generateResponse() {
  try {
    // Make a POST request to the completions API
    const response = await fetch('https://api.openai.com/v1/completions', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        Authorization: `Bearer ${apiKey}`,
      },
      body: JSON.stringify({
        model: modelEngine,
        prompt,
        max_tokens: maxTokens,
        temperature,
      }),
    });

    // Get the response data as a JSON object
    const responseJson = await response.json();

    // Print the response
    console.log(responseJson.choices[0].text);
  } catch (error) {
    console.error(error);
  }
}

generateResponse();