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copilot-demo
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/* sans-serf font for html and body */ | |
html, | |
body { | |
font-family: sans-serif; | |
} | |
.header { | |
text-align: center; | |
/* fixed to the top */ | |
position: fixed; | |
top: 0; | |
width: 100%; | |
/* in front of everything else */ | |
z-index: 1; | |
} | |
.container { | |
height: 100%; | |
display: flex; | |
flex-grow: 1; | |
flex-direction: column; | |
margin: auto; | |
} | |
.bottom { | |
background: white; | |
bottom: 0; | |
padding-top: 4px; | |
padding-bottom: 20px; | |
position: fixed; | |
left: 0; | |
width: 100%; | |
overflow: hidden; | |
} | |
.conversation-wrapper { | |
text-align: left; | |
display: flex; | |
flex-direction: column; | |
justify-content: center; | |
align-items: center; | |
} | |
.conversation { | |
text-align: left; | |
width: 500px; | |
} | |
.new-message { | |
text-align: left; | |
display: flex; | |
flex-direction: column; | |
justify-content: center; | |
align-items: center; | |
} | |
.message-box { | |
padding: 10px; | |
max-height: 200px; | |
height: 72px; | |
overflow-y: hidden; | |
width: 100%; | |
max-width: 500px; | |
border: 1px solid #d3d3d3; | |
border-radius: 10px; | |
resize: none; | |
} | |
.message { | |
padding: 10px; | |
margin-bottom: 10px; | |
border-radius: 5px; | |
box-shadow: 0 1px 4px rgba(0, 0, 0, 0.3); | |
max-width: 85%; | |
} | |
.message.user { | |
float: right; | |
background-color: #479ef5; | |
color: white; | |
} | |
.message.assistant { | |
float: left; | |
background-color: #e6e6e6; | |
color: black; | |
} | |
.clearfix { | |
overflow: auto; | |
} |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8" /> | |
<meta http-equiv="X-UA-Compatible" content="IE=edge" /> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0" /> | |
<link rel="stylesheet" href="index.css" /> | |
<title>Document</title> | |
<style></style> | |
</head> | |
<body> | |
<header class="header"> | |
<h1>Burke GPT</h1> | |
</header> | |
<div class="container"> | |
<div class="conversation-wrapper"> | |
<div class="conversation" id="conversation"></div> | |
</div> | |
<div class="bottom"> | |
<div class="new-message"> | |
<textarea | |
id="messageBox" | |
class="message-box" | |
placeholder="Ask me anything..." | |
></textarea> | |
</div> | |
</div> | |
</div> | |
<script src="index.js"></script> | |
</body> | |
</html> |
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const $ = document.querySelectorAll.bind(document); | |
const $$ = document.querySelector.bind(document); | |
const messageBox = $$("#messageBox"); | |
const conversationWrapper = $$("#conversation"); | |
let messages = []; | |
let message = {}; | |
// handle the keyDown event on the messageBox element | |
messageBox.addEventListener("keydown", async (event) => { | |
// if the key pressed was the enter key | |
if (event.keyCode === 13) { | |
event.preventDefault(); | |
// get the message from the messageBox | |
const message = messageBox.value; | |
// add it to the messages array | |
messages.push({ role: "user", content: message }); | |
// add it to the conversation element | |
conversation.appendChild(createMessageEl("user", message)); | |
// clear the messageBox | |
messageBox.value = ""; | |
// call OpenAI and get the response | |
const answer = await getGPTResponse(messages); | |
// add the response to the conversation element | |
conversation.appendChild(createMessageEl("assistant", answer)); | |
// add the response to the messages array | |
messages.push({ role: "assistant", content: answer }); | |
} | |
}); | |
function createMessageEl(role, message) { | |
const messageElement = document.createElement("div"); | |
messageElement.classList.add("clearfix"); | |
const fragment = `<div class="message ${role}">${message}</div>`; | |
messageElement.innerHTML = fragment; | |
return messageElement; | |
} | |
// call OpenAI and get the response | |
async function getGPTResponse(messages) { | |
let gptReq = { | |
model: "gpt-3.5-turbo", | |
messages: messages, | |
}; | |
const response = await fetch("https://api.openai.com/v1/chat/completions", { | |
method: "POST", | |
headers: { | |
"Content-Type": "application/json", | |
Authorization: | |
"Bearer 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", | |
}, | |
body: JSON.stringify(gptReq), | |
}); | |
const json = await response.json(); | |
return json["choices"][0]["message"]["content"]; | |
} |
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