gpt3.js

const OpenAI = require('openai-api');
const openai = new OpenAI(process.env.OPEN_AI_API_KEY);

const formatToInput = (body) => {
  const context = `
  This is a LinkedIn Bio Generator

  Name: John
  Student: Yes
  Degree: Bachelor’s of Commerce 
  Year: third
  Major: Marketing
  Interest: Marketing, Entrepreneurship, mountain biking, travel
  LinkedIn Bio: John is a third year Marketing Major. He has spent the last six years working in the fast-paced world of startups. John has a passion for entrepreneurship and marketing. He specializes in developing and marketing web and mobile applications. When he's not pushing pixels around, John enjoys mountain biking and travel.
  ###
  Name: Amaira
  Student: Yes
  Degree: Bachelor’s of Engineering
  Year: 2nd
  Major: Psychology
  Interest: Developmental Psychology, Abnormal Psychology, Cat
  LinkedIn Bio: Amaira is a second year student studying psychology and specializing in Developmental and  Abnormal Psychology. In her spare time she enjoys practicing yoga, trying out new recipes, and spending time with her cat.
  ###
  Name: Marcus
  Student: Yes
  Degree: Bachelor’s of Arts
  Year: 4
  Major: Double Major in Psychology and Management
  Interest: Start-up, Swimming, Reddit
  LinkedIn Bio: Marcus is a 4th year student studying Psychology. He is a double major in management and psychology and he specializes in behavioral economics and social psychology. Marcus has a passion for start-ups and spends much of his time working and volunteering at start-ups. In his spare time, Marcus enjoys swimming and reading reddit.
  ###
  `
  const { degree, name, major, interests, year } = JSON.parse(body)
  console.log(degree, name, major, interests, year)
  const newPrompt = `Name: ${name.slice(0, 70)}
  Student: Yes
  Degree: ${degree.slice(0, 70)}
  Year: ${year.slice(0, 70)}
  Major: ${major.slice(0, 70)}
  Interest: ${interests.slice(0, 140)}
  LinkedIn Bio:`
  return context.concat(newPrompt)

}

const gptResponse = async (input) => {
  const newInput = formatToInput(input)
  const res = await openai.complete({
    engine: 'davinci',
    prompt: newInput,
    maxTokens: 150,
    temperature: 0.78,
    topP: 1,
    presence_penalty: 0,
    frequency_penalty: 0,
    best_of: 1,
    n: 1,
    stream: false,
    stop: ["###"]
  });

  return res.data.choices[0].text;
}

export default gptResponse