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first import of boxabirds/chatgpt-frontend-nobuild chatgpt web frontend

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// The controller wires up all the components and workers together,
// managing the dependencies. A kind of "DI" class.
const worker = new Worker('model-worker.js');
const messagesArea = document.querySelector('messages-area');
messagesArea.init(worker);
// Initialize the messageInput component and pass the worker to it
const messageInput = document.querySelector('message-input');
messageInput.init(worker);
messageInput.setMessagesArea(messagesArea);
const params = new URLSearchParams(window.location.search);
const openaiApiKey = params.get('openapi-key');
worker.postMessage({ type: 'init', openaiApiKey: openaiApiKey });
if( openaiApiKey !== null ) {
messagesArea.appendUserMessage("Will attempt to connect to OpenAI using API key provided.", source="");
} else {
messagesArea.appendUserMessage("No OpenAI API key provided. Using mock data.", source="");
}
// Event listeners for worker messages
// TODO I'm sure there's a better way to do this
worker.onmessage = function(event) {
const { type, payload } = event.data;
switch (type) {
case 'messageSent':
messageInput.handleMessageSent();
break;
case 'newToken':
messagesArea.handleNewToken(payload.token);
break;
case 'tokensDone':
messagesArea.handleTokensDone();
break;
default:
console.error('Unknown event type from worker:', type);
}
};

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<head>
<!-- Other meta tags and stylesheets -->
<link rel="stylesheet" type="text/css" href="styles.css">
</head>
<body>
<!-- Use the custom tags directly -->
<div id="appContainer">
<messages-area></messages-area>
<message-input></message-input>
</div>
<div id="content">
</div>
<!-- Include the JavaScript files at bottom to avoid blocking UI -->
<script src="messageInput.js" defer></script>
<script src="marked.min.js"></script>
<script src="messagesArea.js" defer></script>
<script src="controller.js" defer></script>
</body>

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const messageInputTemplate = document.createElement('template');
messageInputTemplate.innerHTML = `
<style>
:host {
display: flex;
justify-content: space-between;
align-items: center;
height: 24px;
margin: var(--margin);
margin-bottom: 20px;
}
#messageInputField {
flex-grow: 1;
padding: 10px; /* Increased padding */
font-size: 1rem; /* Adjusted font size to match message output */
border: 1px solid lightgrey; /* Light grey border */
border-radius: 10px; /* More rounded edges */
margin-right: var(--padding);
outline: none;
}
#messageInputField:focus {
border-color: darkgrey; /* Dark grey border on focus */
}
#sendButton {
width: 44px;
height: 36px;
cursor: pointer;
border-radius: 10px;
border: 2px solid darkgrey;
}
</style>
<input type="text" id="messageInputField" placeholder="" focus="true" autocomplete="off">
<button id="sendButton"><span class="" height="24" width="24" data-state="closed"><svg width="24" height="24" viewBox="0 0 24 24" fill="none" class="text-white dark:text-black"><path d="M7 11L12 6L17 11M12 18V7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg></span></button>
`;
// stop button <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" fill="currentColor" class="h-2 w-2 text-gizmo-gray-950 dark:text-gray-200" height="16" width="16"><path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2V2z" stroke-width="0"></path></svg>
class MessageInput extends HTMLElement {
constructor() {
super();
const shadowRoot = this.attachShadow({mode: 'open'});
shadowRoot.appendChild(messageInputTemplate.content.cloneNode(true));
this._messageInputField = shadowRoot.querySelector('#messageInputField');
this._sendButton = shadowRoot.querySelector('#sendButton');
this._messageInputField.addEventListener('keydown', this._handleKeyDown.bind(this));
this._sendButton.addEventListener('click', this._handleClick.bind(this));
}
connectedCallback() {
// Set focus to the input field when the element is added to the DOM
this._messageInputField.focus();
}
init(worker) {
this.worker = worker;
}
setMessagesArea(messagesAreaComponent) {
this.messagesAreaComponent = messagesAreaComponent;
}
handleMessageSent() {
console.log("handleMessageSent");
this._messageInputField.value = '';
this._sendButton.removeAttribute('disabled');
this._messageInputField.removeAttribute('disabled');
}
_handleKeyDown(event) {
if (event.key === 'Enter') {
this._handleNewChatMessage();
}
}
_handleClick() {
this._handleNewChatMessage();
}
_handleNewChatMessage() {
// prevent user from interacting while we're waiting
this._sendButton.setAttribute('disabled', 'disabled');
this._messageInputField.setAttribute('disabled', 'disabled');
let messageContent = this._messageInputField.value;
if (this.messagesAreaComponent) {
this.messagesAreaComponent.appendUserMessage(messageContent);
}
this.worker.postMessage({ type: 'chatMessage', message: messageContent });
}
}
customElements.define('message-input', MessageInput);

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const messagesAreaTemplate = document.createElement('template');
messagesAreaTemplate.innerHTML = `
<style>
:host {
display: flex;
flex-direction: column;
height: 100%; /* Adjust as needed */
overflow-y: auto; /* Makes the area scrollable */
}
#messages {
display: flex;
flex-direction: column;
justify-content: flex-end; /* Align messages to the bottom */
min-height: 100%; /* Ensure it takes the full height */
margin: var(--margin);
}
.message {
margin-bottom: var(--margin);
line-height: 1.3;
}
.token {
display: inline; /* Tokens are inline elements */
opacity: 0; /* Start with the token invisible */
animation: fadeIn 1000ms forwards; /* Apply the fade-in animation */
}
@keyframes fadeIn {
to {
opacity: 1;
}
}
h2 {
font-weight: bold;
font-size: 1rem;
margin-top: 20px;
}
</style>
<div id="messages"></div>
`;
class MessagesArea extends HTMLElement {
constructor() {
super();
this.accumulatingMessageEl = null; // No initial message container
const shadowRoot = this.attachShadow({mode: 'open'});
shadowRoot.appendChild(messagesAreaTemplate.content.cloneNode(true));
this.messages = shadowRoot.querySelector('#messages');
}
createNewAccumulatingMessage() {
const lastMessage = this.messages.lastElementChild;
const isLastMessageFromUser = lastMessage && lastMessage.classList.contains('user');
if (isLastMessageFromUser) {
const header = document.createElement('h2');
header.textContent = "Bot";
this.messages.appendChild(header);
}
this.accumulatingMessageEl = document.createElement('div');
this.accumulatingMessageEl.classList.add('message', 'bot'); // Tag as 'bot' message
this.messages.appendChild(this.accumulatingMessageEl);
}
init(worker) {
this.worker = worker;
}
handleTokensDone() {
this.flushAccumulatingMessage();
}
appendUserMessage(messageText, source="You") {
console.log("appendUserMessage: "+messageText);
const header = document.createElement('h2');
header.textContent = source;
this.messages.appendChild(header);
const messageElement = document.createElement('div');
messageElement.classList.add('message', 'user'); // Tag as 'user' message
messageElement.textContent = messageText;
this.messages.appendChild(messageElement);
this.scrollToBottom();
}
handleNewToken(token) {
if (!this.accumulatingMessageEl) {
this.createNewAccumulatingMessage();
}
const newTokenElement = document.createElement('span');
newTokenElement.classList.add('token');
newTokenElement.textContent = token;
this.accumulatingMessageEl.appendChild(newTokenElement);
this.scrollToBottom();
if (token === '\n') {
this.flushAccumulatingMessage();
}
}
scrollToBottom() {
this.messages.scrollTop = this.messages.scrollHeight;
}
flushAccumulatingMessage() {
if (this.accumulatingMessageEl) {
// remove all the animation spans and interpret the text as markdown.
let fullText = '';
this.accumulatingMessageEl.querySelectorAll('.token').forEach(tokenEl => {
fullText += tokenEl.textContent;
});
// Convert Markdown to HTML
let htmlText = marked.parse(fullText);
console.log("htmlText: "+htmlText);
this.accumulatingMessageEl.innerHTML = htmlText;
this.accumulatingMessageEl = null; // Clear the reference for the next message
}
//this.scrollToBottom();
}
}
customElements.define('messages-area', MessagesArea);

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const MOCK_TOKENS = ['Good', ' morning', ' Mr', ' Plop', 'py', ',', 'and', ' I', ' said', '\n', '"', 'Good', ' morn', 'ing', ' Mrs',' Plop', 'py', ,'"', '\n', 'Oh', ' how', ' the', ' win', 'ter', ' even', 'ings', ' must', ' just', ' fly'];
const API_URL = "https://api.openai.com/v1/chat/completions";
let openaiApiKey;
let conversationHistory = [];
let assistantResponseAccumulator = '';
function mockDelay(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
async function processMockTokens() {
for (const token of MOCK_TOKENS) {
await mockDelay(Math.random() * 50 + 50); // Random delay between 100ms and 150ms
postMessage({ type: 'newToken', payload: { token } });
}
postMessage({ type: 'tokensDone' });
}
self.onmessage = async function(event) {
if (event.data.type === 'init') {
openaiApiKey = event.data.openaiApiKey;
} else if (event.data.type === 'chatMessage') {
// MOCK
if( openaiApiKey === null ) {
// Simulate sending the message to an HTTP endpoint
await mockDelay(1000); // Wait for 1 second
// Notify that the chat message was sent
postMessage({ type: 'messageSent' });
// Start processing tokens
await processMockTokens();
// OPENAI
} else {
conversationHistory.push({ role: 'user', content: event.data.message });
// https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo
// 4096 output tokens
// 128,000 input tokens
const response = await fetch(API_URL, {
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": `Bearer ${openaiApiKey}`,
},
body: JSON.stringify({
model: "gpt-4-1106-preview",
messages: conversationHistory,
stream: true,
}),
});
postMessage({ type: 'messageSent' });
const reader = response.body.getReader();
const decoder = new TextDecoder("utf-8");
while (true) {
const { done, value } = await reader.read();
if (done) {
conversationHistory.push({ role: 'assistant', content: assistantResponseAccumulator });
assistantResponseAccumulator = '';
postMessage({ type: 'tokensDone' });
break;
}
// lots of low-level OpenAI response parsing stuff
const chunk = decoder.decode(value);
const lines = chunk.split("\n");
const parsedLines = lines
.map((line) => line.replace(/^data: /, "").trim()) // Remove the "data: " prefix
.filter((line) => line !== "" && line !== "[DONE]") // Remove empty lines and "[DONE]"
.map((line) => JSON.parse(line)); // Parse the JSON string
for (const parsedLine of parsedLines) {
const { choices } = parsedLine;
const { delta } = choices[0];
const { content } = delta;
// Update the UI with the new content
if (content) {
assistantResponseAccumulator += content;
postMessage({ type: 'newToken', payload: { token: content } });
}
}
}
}
}
};