conversationArr.push({
role: 'user',
content: userInput.value
})
fetchReply()
const newSpeechBubble = document.createElement('div')
newSpeechBubble.classList.add('speech', 'speech-human')
chatbotConversation.appendChild(newSpeechBubble)
newSpeechBubble.textContent = userInput.value
userInput.value = ''
chatbotConversation.scrollTop = chatbotConversation.scrollHeight
})
async function fetchReply(){
const response = await openai.createChatCompletion({
/*
Challenge:
1. Give this object a 'model' property of 'gpt-4'.
2. Give it a 'messages' property, which should hold
our const conversationArr.
3. Ask a question, hit send, and log out the response to
see if it works.
*/
})
}
function renderTypewriterText(text) {
const newSpeechBubble = document.createElement('div')
newSpeechBubble.classList.add('speech', 'speech-ai', 'blinking-cursor')
chatbotConversation.appendChild(newSpeechBubble)
let i = 0
const interval = setInterval(() => {
newSpeechBubble.textContent += text.slice(i-1, i)
if (text.length === i) {
clearInterval(interval)
newSpeechBubble.classList.remove('blinking-cursor')
}
i++
chatbotConversation.scrollTop = chatbotConversation.scrollHeight
}, 50)
}
import { Configuration, OpenAIApi } from 'openai'
import { process } from './env'
const configuration = new Configuration({
apiKey: process.env.OPENAI_API_KEY,
})
const openai = new OpenAIApi(configuration)
const chatbotConversation = document.getElementById('chatbot-conversation')
const conversationArr = [
{
role: 'system',
content: 'You are a highly knowledgeable assistant that is always happy to help.'
}
]
document.addEventListener('submit', (e) => {
e.preventDefault()
const userInput = document.getElementById('user-input')