const colorThemes = document.querySelectorAll('[name="theme"]');
const markdown = window.markdownit();
const message_box = document.getElementById(`messages`);
const messageInput = document.getElementById(`message-input`);
const box_conversations = document.querySelector(`.top`);
const stop_generating = document.querySelector(`.stop_generating`);
const regenerate = document.querySelector(`.regenerate`);
const sidebar = document.querySelector(".conversations");
const sidebar_button = document.querySelector(".mobile-sidebar");
const sendButton = document.getElementById("send-button");
const imageInput = document.getElementById("image");
const cameraInput = document.getElementById("camera");
const fileInput = document.getElementById("file");
const inputCount = document.getElementById("input-count")
const providerSelect = document.getElementById("provider");
const modelSelect = document.getElementById("model");
const modelProvider = document.getElementById("model2");
const systemPrompt = document.getElementById("systemPrompt")
const jailbreak = document.getElementById("jailbreak");
let prompt_lock = false;
const options = ["switch", "model", "model2", "jailbreak", "patch", "provider", "history"];
hljs.addPlugin(new CopyButtonPlugin());
messageInput.addEventListener("blur", () => {
window.scrollTo(0, 0);
});
messageInput.addEventListener("focus", () => {
document.documentElement.scrollTop = document.documentElement.scrollHeight;
});
appStorage = window.localStorage || {
setItem: (key, value) => self[key] = value,
getItem: (key) => self[key],
removeItem: (key) => delete self[key],
length: 0
}
const markdown_render = (content) => {
return markdown.render(content
.replaceAll(/<!--.+-->/gm, "")
.replaceAll(/<img data-prompt="[^>]+">/gm, "")
)
.replaceAll("<a href=", '<a target="_blank" href=')
.replaceAll('<code>', '<code class="language-plaintext">')
}
let typesetPromise = Promise.resolve();
let timeoutHighlightId;
const highlight = (container) => {
if (timeoutHighlightId) clearTimeout(timeoutHighlightId);
timeoutHighlightId = setTimeout(() => {
container.querySelectorAll('code:not(.hljs').forEach((el) => {
if (el.className != "hljs") {
hljs.highlightElement(el);
}
});
typesetPromise = typesetPromise.then(
() => MathJax.typesetPromise([container])
).catch(
(err) => console.log('Typeset failed: ' + err.message)
);
}, 100);
}
const register_remove_message = async () => {
document.querySelectorAll(".message .fa-xmark").forEach(async (el) => {
if (!("click" in el.dataset)) {
el.dataset.click = "true";
el.addEventListener("click", async () => {
if (prompt_lock) {
return;
}
const message_el = el.parentElement.parentElement;
await remove_message(window.conversation_id, message_el.dataset.index);
await load_conversation(window.conversation_id, false);
})
}
});
}
const delete_conversations = async () => {
for (let i = 0; i < appStorage.length; i++){
let key = appStorage.key(i);
if (key.startsWith("conversation:")) {
appStorage.removeItem(key);
}
}
hide_sidebar();
await new_conversation();
};
const handle_ask = async () => {
messageInput.style.height = "82px";
messageInput.focus();
window.scrollTo(0, 0);
message = messageInput.value
if (message.length > 0) {
messageInput.value = "";
prompt_lock = true;
count_input()
await add_conversation(window.conversation_id, message);
if ("text" in fileInput.dataset) {
message += '\n```' + fileInput.dataset.type + '\n';
message += fileInput.dataset.text;
message += '\n```'
}
let message_index = await add_message(window.conversation_id, "user", message);
window.token = message_id();
if (imageInput.dataset.src) URL.revokeObjectURL(imageInput.dataset.src);
const input = imageInput && imageInput.files.length > 0 ? imageInput : cameraInput
if (input.files.length > 0) imageInput.dataset.src = URL.createObjectURL(input.files[0]);
else delete imageInput.dataset.src
message_box.innerHTML += `
<div class="message" data-index="${message_index}">
<div class="user">
${user_image}
<i class="fa-solid fa-xmark"></i>
<i class="fa-regular fa-phone-arrow-up-right"></i>
</div>
<div class="content" id="user_${token}">
<div class="content_inner">
${markdown_render(message)}
${imageInput.dataset.src
? '<img src="' + imageInput.dataset.src + '" alt="Image upload">'
: ''
}
</div>
<div class="count">${count_words_and_tokens(message, get_selected_model())}</div>
</div>
</div>
`;
await register_remove_message();
highlight(message_box);
await ask_gpt();
}
};
const remove_cancel_button = async () => {
stop_generating.classList.add(`stop_generating-hiding`);
setTimeout(() => {
stop_generating.classList.remove(`stop_generating-hiding`);
stop_generating.classList.add(`stop_generating-hidden`);
}, 300);
};
const prepare_messages = (messages, filter_last_message = true) => {
// Removes none user messages at end
if (filter_last_message) {
let last_message;
while (last_message = messages.pop()) {
if (last_message["role"] == "user") {
messages.push(last_message);
break;
}
}
}
// Remove history, if it's selected
if (document.getElementById('history')?.checked) {
if (filter_last_message) {
messages = [messages.pop()];
} else {
messages = [messages.pop(), messages.pop()];
}
}
let new_messages = [];
if (messages) {
for (i in messages) {
new_message = messages[i];
// Remove generated images from history
new_message.content = new_message.content.replaceAll(
/<!-- generated images start -->[\s\S]+<!-- generated images end -->/gm,
""
)
delete new_message["provider"];
// Remove regenerated messages
if (!new_message.regenerate) {
new_messages.push(new_message)
}
}
}
// Add system message
system_content = systemPrompt?.value;
if (system_content) {
new_messages.unshift({
"role": "system",
"content": system_content
});
}
return new_messages;
}
const ask_gpt = async () => {
regenerate.classList.add(`regenerate-hidden`);
messages = await get_messages(window.conversation_id);
total_messages = messages.length;
messages = prepare_messages(messages);
window.scrollTo(0, 0);
window.controller = new AbortController();
window.text = "";
stop_generating.classList.remove(`stop_generating-hidden`);
message_box.scrollTop = message_box.scrollHeight;
window.scrollTo(0, 0);
el = message_box.querySelector('.count_total');
el ? el.parentElement.removeChild(el) : null;
message_box.innerHTML += `
<div class="message" data-index="${total_messages}">
<div class="assistant">
${gpt_image}
<i class="fa-solid fa-xmark"></i>
<i class="fa-regular fa-phone-arrow-down-left"></i>
</div>
<div class="content" id="gpt_${window.token}">
<div class="provider"></div>
<div class="content_inner"><span id="cursor"></span></div>
<div class="count"></div>
</div>
</div>
`;
content = document.getElementById(`gpt_${window.token}`);
content_inner = content.querySelector('.content_inner');
content_count = content.querySelector('.count');
message_box.scrollTop = message_box.scrollHeight;
window.scrollTo(0, 0);
error = provider_result = null;
try {
let body = JSON.stringify({
id: window.token,
conversation_id: window.conversation_id,
model: get_selected_model(),
jailbreak: jailbreak?.options[jailbreak.selectedIndex].value,
web_search: document.getElementById(`switch`).checked,
provider: providerSelect.options[providerSelect.selectedIndex].value,
patch_provider: document.getElementById('patch')?.checked,
messages: messages
});
const headers = {
accept: 'text/event-stream'
}
const input = imageInput && imageInput.files.length > 0 ? imageInput : cameraInput
if (input && input.files.length > 0) {
const formData = new FormData();
formData.append('image', input.files[0]);
formData.append('json', body);
body = formData;
} else {
headers['content-type'] = 'application/json';
}
const response = await fetch(`/backend-api/v2/conversation`, {
method: 'POST',
signal: window.controller.signal,
headers: headers,
body: body
});
const reader = response.body.pipeThrough(new TextDecoderStream()).getReader();
let buffer = ""
while (true) {
const { value, done } = await reader.read();
if (done) break;
for (const line of value.split("\n")) {
if (!line) {
continue;
}
let message;
try {
message = JSON.parse(buffer + line);
buffer = "";
} catch {
buffer += line
continue;
}
if (message.type == "content") {
text += message.content;
} else if (message.type == "provider") {
provider_result = message.provider
content.querySelector('.provider').innerHTML = `
<a href="${provider_result.url}" target="_blank">
${provider_result.name}
</a>
${provider_result.model ? ' with ' + provider_result.model : ''}
`
} else if (message.type == "error") {
error = message.error;
} else if (messag.type == "message") {
console.error(messag.message)
}
}
if (error) {
console.error(error);
content_inner.innerHTML += `<p><strong>An error occured:</strong> ${error}</p>`;
} else {
html = markdown_render(text);
let lastElement, lastIndex = null;
for (element of ['</p>', '</code></pre>', '</p>\n</li>\n</ol>', '</li>\n</ol>', '</li>\n</ul>']) {
const index = html.lastIndexOf(element)
if (index - element.length > lastIndex) {
lastElement = element;
lastIndex = index;
}
}
if (lastIndex) {
html = html.substring(0, lastIndex) + '<span id="cursor"></span>' + lastElement;
}
content_inner.innerHTML = html;
content_count.innerText = count_words_and_tokens(text, provider_result?.model);
highlight(content_inner);
}
window.scrollTo(0, 0);
if (message_box.scrollTop >= message_box.scrollHeight - message_box.clientHeight - 100) {
message_box.scrollTo({ top: message_box.scrollHeight, behavior: "auto" });
}
}
if (!error) {
html = markdown_render(text);
content_inner.innerHTML = html;
highlight(content_inner);
if (imageInput) imageInput.value = "";
if (cameraInput) cameraInput.value = "";
if (fileInput) fileInput.value = "";
}
} catch (e) {
console.error(e);
if (e.name != "AbortError") {
error = true;
text = "oops ! something went wrong, please try again / reload. [stacktrace in console]";
content_inner.innerHTML = text;
} else {
content_inner.innerHTML += " [aborted]";
if (text) text += " [aborted]";
}
}
if (!error && text) {
await add_message(window.conversation_id, "assistant", text, provider_result);
await load_conversation(window.conversation_id);
} else {
let cursorDiv = document.getElementById(`cursor`);
if (cursorDiv) cursorDiv.parentNode.removeChild(cursorDiv);
}
window.scrollTo(0, 0);
message_box.scrollTop = message_box.scrollHeight;
await remove_cancel_button();
await register_remove_message();
prompt_lock = false;
await load_conversations();
regenerate.classList.remove("regenerate-hidden");
};
const clear_conversations = async () => {
const elements = box_conversations.childNodes;
let index = elements.length;
if (index > 0) {
while (index--) {
const element = elements[index];
if (
element.nodeType === Node.ELEMENT_NODE &&
element.tagName.toLowerCase() !== `button`
) {
box_conversations.removeChild(element);
}
}
}
};
const clear_conversation = async () => {
let messages = message_box.getElementsByTagName(`div`);
while (messages.length > 0) {
message_box.removeChild(messages[0]);
}
};
const show_option = async (conversation_id) => {
const conv = document.getElementById(`conv-${conversation_id}`);
const choi = document.getElementById(`cho-${conversation_id}`);
conv.style.display = "none";
choi.style.display = "block";
};
const hide_option = async (conversation_id) => {
const conv = document.getElementById(`conv-${conversation_id}`);
const choi = document.getElementById(`cho-${conversation_id}`);
conv.style.display = "block";
choi.style.display = "none";
};
const delete_conversation = async (conversation_id) => {
appStorage.removeItem(`conversation:${conversation_id}`);
const conversation = document.getElementById(`convo-${conversation_id}`);
conversation.remove();
if (window.conversation_id == conversation_id) {
await new_conversation();
}
await load_conversations();
};
const set_conversation = async (conversation_id) => {
history.pushState({}, null, `/chat/${conversation_id}`);
window.conversation_id = conversation_id;
await clear_conversation();
await load_conversation(conversation_id);
load_conversations();
hide_sidebar();
};
const new_conversation = async () => {
history.pushState({}, null, `/chat/`);
window.conversation_id = uuid();
await clear_conversation();
if (systemPrompt) {
systemPrompt.value = "";
}
load_conversations();
hide_sidebar();
say_hello();
};
const load_conversation = async (conversation_id, scroll = true) => {
let conversation = await get_conversation(conversation_id);
let messages = conversation?.items || [];
if (systemPrompt) {
systemPrompt.value = conversation.system || "";
}
let elements = "";
let last_model = null;
for (i in messages) {
let item = messages[i];
last_model = item.provider?.model;
let next_i = parseInt(i) + 1;
let next_provider = item.provider ? item.provider : (messages.length > next_i ? messages[next_i].provider : null);
let provider_link = item.provider?.name ? `<a href="${item.provider.url}" target="_blank">${item.provider.name}</a>` : "";
let provider = provider_link ? `
<div class="provider">
${provider_link}
${item.provider.model ? ' with ' + item.provider.model : ''}
</div>
` : "";
elements += `
<div class="message${item.regenerate ? " regenerate": ""}" data-index="${i}">
<div class="${item.role}">
${item.role == "assistant" ? gpt_image : user_image}
<i class="fa-solid fa-xmark"></i>
${item.role == "assistant"
? `<i class="fa-regular fa-phone-arrow-down-left"></i>`
: `<i class="fa-regular fa-phone-arrow-up-right"></i>`
}
</div>
<div class="content">
${provider}
<div class="content_inner">${markdown_render(item.content)}</div>
<div class="count">${count_words_and_tokens(item.content, next_provider?.model)}</div>
</div>
</div>
`;
}
const filtered = prepare_messages(messages, false);
if (filtered.length > 0) {
last_model = last_model?.startsWith("gpt-4") ? "gpt-4" : "gpt-3.5-turbo"
let count_total = GPTTokenizer_cl100k_base?.encodeChat(filtered, last_model).length
if (count_total > 0) {
elements += `<div class="count_total">(${count_total} tokens used)</div>`;
}
}
message_box.innerHTML = elements;
register_remove_message();
highlight(message_box);
if (scroll) {
message_box.scrollTo({ top: message_box.scrollHeight, behavior: "smooth" });
setTimeout(() => {
message_box.scrollTop = message_box.scrollHeight;
}, 500);
}
};
async function get_conversation(conversation_id) {
let conversation = await JSON.parse(
appStorage.getItem(`conversation:${conversation_id}`)
);
return conversation;
}
async function save_conversation(conversation_id, conversation) {
appStorage.setItem(
`conversation:${conversation_id}`,
JSON.stringify(conversation)
);
}
async function get_messages(conversation_id) {
let conversation = await get_conversation(conversation_id);
return conversation?.items || [];
}
async function add_conversation(conversation_id, content) {
if (content.length > 17) {
title = content.substring(0, 17) + '...'
} else {
title = content + ' '.repeat(19 - content.length)
}
if (appStorage.getItem(`conversation:${conversation_id}`) == null) {
await save_conversation(conversation_id, {
id: conversation_id,
title: title,
system: systemPrompt?.value,
items: [],
});
}
history.pushState({}, null, `/chat/${conversation_id}`);
}
async function save_system_message() {
if (!window.conversation_id) return;
const conversation = await get_conversation(window.conversation_id);
conversation.system = systemPrompt?.value;
await save_conversation(window.conversation_id, conversation);
}
const hide_last_message = async (conversation_id) => {
const conversation = await get_conversation(conversation_id)
const last_message = conversation.items.pop();
if (last_message !== null) {
if (last_message["role"] == "assistant") {
last_message["regenerate"] = true;
}
conversation.items.push(last_message);
}
await save_conversation(conversation_id, conversation);
};
const remove_message = async (conversation_id, index) => {
const conversation = await get_conversation(conversation_id);
let new_items = [];
for (i in conversation.items) {
if (i == index - 1) {
if (!conversation.items[index]?.regenerate) {
delete conversation.items[i]["regenerate"];
}
}
if (i != index) {
new_items.push(conversation.items[i])
}
}
conversation.items = new_items;
await save_conversation(conversation_id, conversation);
};
const add_message = async (conversation_id, role, content, provider) => {
const conversation = await get_conversation(conversation_id);
conversation.items.push({
role: role,
content: content,
provider: provider
});
await save_conversation(conversation_id, conversation);
return conversation.items.length - 1;
};
const load_conversations = async () => {
let conversations = [];
for (let i = 0; i < appStorage.length; i++) {
if (appStorage.key(i).startsWith("conversation:")) {
let conversation = appStorage.getItem(appStorage.key(i));
conversations.push(JSON.parse(conversation));
}
}
await clear_conversations();
for (conversation of conversations) {
box_conversations.innerHTML += `
<div class="convo" id="convo-${conversation.id}">
<div class="left" onclick="set_conversation('${conversation.id}')">
<i class="fa-regular fa-comments"></i>
<span class="convo-title">${conversation.title}</span>
</div>
<i onclick="show_option('${conversation.id}')" class="fa-regular fa-trash" id="conv-${conversation.id}"></i>
<div id="cho-${conversation.id}" class="choise" style="display:none;">
<i onclick="delete_conversation('${conversation.id}')" class="fa-regular fa-check"></i>
<i onclick="hide_option('${conversation.id}')" class="fa-regular fa-x"></i>
</div>
</div>
`;
}
};
document.getElementById(`cancelButton`).addEventListener(`click`, async () => {
window.controller.abort();
console.log(`aborted ${window.conversation_id}`);
});
document.getElementById(`regenerateButton`).addEventListener(`click`, async () => {
prompt_lock = true;
await hide_last_message(window.conversation_id);
window.token = message_id();
await ask_gpt();
});
const uuid = () => {
return `xxxxxxxx-xxxx-4xxx-yxxx-${Date.now().toString(16)}`.replace(
/[xy]/g,
function (c) {
var r = (Math.random() * 16) | 0,
v = c == "x" ? r : (r & 0x3) | 0x8;
return v.toString(16);
}
);
};
const message_id = () => {
random_bytes = (Math.floor(Math.random() * 1338377565) + 2956589730).toString(
2
);
unix = Math.floor(Date.now() / 1000).toString(2);
return BigInt(`0b${unix}${random_bytes}`).toString();
};
async function hide_sidebar() {
sidebar.classList.remove("shown");
sidebar_button.classList.remove("rotated");
}
sidebar_button.addEventListener("click", (event) => {
if (sidebar.classList.contains("shown")) {
hide_sidebar();
} else {
sidebar.classList.add("shown");
sidebar_button.classList.add("rotated");
}
window.scrollTo(0, 0);
});
const register_settings_localstorage = async () => {
options.forEach((id) => {
element = document.getElementById(id);
if (!element) {
return;
}
element.addEventListener('change', async (event) => {
switch (event.target.type) {
case "checkbox":
appStorage.setItem(id, event.target.checked);
break;
case "select-one":
appStorage.setItem(id, event.target.selectedIndex);
break;
default:
console.warn("Unresolved element type");
}
});
});
}
const load_settings_localstorage = async () => {
options.forEach((id) => {
element = document.getElementById(id);
if (!element || !(value = appStorage.getItem(element.id))) {
return;
}
if (value) {
switch (element.type) {
case "checkbox":
element.checked = value === "true";
break;
case "select-one":
element.selectedIndex = parseInt(value);
break;
default:
console.warn("Unresolved element type");
}
}
});
}
const say_hello = async () => {
tokens = [`Hello`, `!`, ` How`,` can`, ` I`,` assist`,` you`,` today`,`?`]
message_box.innerHTML += `
<div class="message">
<div class="assistant">
${gpt_image}
<i class="fa-regular fa-phone-arrow-down-left"></i>
</div>
<div class="content">
<p class=" welcome-message"></p>
</div>
</div>
`;
to_modify = document.querySelector(`.welcome-message`);
for (token of tokens) {
await new Promise(resolve => setTimeout(resolve, (Math.random() * (100 - 200) + 100)))
to_modify.textContent += token;
}
}
// Theme storage for recurring viewers
const storeTheme = function (theme) {
appStorage.setItem("theme", theme);
};
// set theme when visitor returns
const setTheme = function () {
const activeTheme = appStorage.getItem("theme");
colorThemes.forEach((themeOption) => {
if (themeOption.id === activeTheme) {
themeOption.checked = true;
}
});
// fallback for no :has() support
document.documentElement.className = activeTheme;
};
colorThemes.forEach((themeOption) => {
themeOption.addEventListener("click", () => {
storeTheme(themeOption.id);
// fallback for no :has() support
document.documentElement.className = themeOption.id;
});
});
function count_tokens(model, text) {
if (model) {
if (model.startsWith("llama2") || model.startsWith("codellama")) {
return llamaTokenizer?.encode(text).length;
}
if (model.startsWith("mistral") || model.startsWith("mixtral")) {
return mistralTokenizer?.encode(text).length;
}
}
return GPTTokenizer_cl100k_base?.encode(text).length;
}
function count_words(text) {
return text.trim().match(/[\w\u4E00-\u9FA5]+/gu)?.length || 0;
}
function count_chars(text) {
return text.match(/[^\s\p{P}]/gu)?.length || 0;
}
function count_words_and_tokens(text, model) {
return `(${count_words(text)} words, ${count_chars(text)} chars, ${count_tokens(model, text)} tokens)`;
}
let countFocus = messageInput;
let timeoutId;
const count_input = async () => {
if (timeoutId) clearTimeout(timeoutId);
timeoutId = setTimeout(() => {
if (countFocus.value) {
inputCount.innerText = count_words_and_tokens(countFocus.value, get_selected_model());
} else {
inputCount.innerHTML = " "
}
}, 100);
};
messageInput.addEventListener("keyup", count_input);
systemPrompt.addEventListener("keyup", count_input);
systemPrompt.addEventListener("focus", function() {
countFocus = systemPrompt;
count_input();
});
systemPrompt.addEventListener("blur", function() {
countFocus = messageInput;
count_input();
});
window.onload = async () => {
setTheme();
count_input();
if (/\/chat\/.+/.test(window.location.href)) {
load_conversation(window.conversation_id);
} else {
say_hello()
}
load_conversations();
messageInput.addEventListener("keydown", async (evt) => {
if (prompt_lock) return;
if (evt.keyCode === 13 && !evt.shiftKey) {
evt.preventDefault();
console.log("pressed enter");
await handle_ask();
} else {
messageInput.style.removeProperty("height");
messageInput.style.height = messageInput.scrollHeight + "px";
}
});
sendButton.addEventListener(`click`, async () => {
console.log("clicked send");
if (prompt_lock) return;
await handle_ask();
});
messageInput.focus();
register_settings_localstorage();
};
(async () => {
response = await fetch('/backend-api/v2/models')
models = await response.json()
for (model of models) {
let option = document.createElement('option');
option.value = option.text = model;
modelSelect.appendChild(option);
}
response = await fetch('/backend-api/v2/providers')
providers = await response.json()
select = document.getElementById('provider');
providers.forEach((provider) => {
let option = document.createElement('option');
option.value = option.text = provider;
select.appendChild(option);
})
await load_provider_models();
await load_settings_localstorage()
})();
(async () => {
response = await fetch('/backend-api/v2/version')
versions = await response.json()
document.title = 'g4f - gui - ' + versions["version"];
let text = "version ~ "
if (versions["version"] != versions["latest_version"]) {
let release_url = 'https://github.com/xtekky/gpt4free/releases/tag/' + versions["latest_version"];
let title = `New version: ${versions["latest_version"]}`;
text += `<a href="${release_url}" target="_blank" title="${title}">${versions["version"]} 🆕</a>`;
} else {
text += versions["version"];
}
document.getElementById("version_text").innerHTML = text
})()
for (const el of [imageInput, cameraInput]) {
el.addEventListener('click', async () => {
el.value = '';
if (imageInput.dataset.src) {
URL.revokeObjectURL(imageInput.dataset.src);
delete imageInput.dataset.src
}
});
}
fileInput.addEventListener('click', async (event) => {
fileInput.value = '';
delete fileInput.dataset.text;
});
fileInput.addEventListener('change', async (event) => {
if (fileInput.files.length) {
type = fileInput.files[0].type;
if (type && type.indexOf('/')) {
type = type.split('/').pop().replace('x-', '')
type = type.replace('plain', 'plaintext')
.replace('shellscript', 'sh')
.replace('svg+xml', 'svg')
.replace('vnd.trolltech.linguist', 'ts')
} else {
type = fileInput.files[0].name.split('.').pop()
}
fileInput.dataset.type = type
const reader = new FileReader();
reader.addEventListener('load', (event) => {
fileInput.dataset.text = event.target.result;
});
reader.readAsText(fileInput.files[0]);
} else {
delete fileInput.dataset.text;
}
});
systemPrompt?.addEventListener("blur", async () => {
await save_system_message();
});
function get_selected_model() {
if (modelProvider.selectedIndex >= 0) {
return modelProvider.options[modelProvider.selectedIndex].value;
} else if (modelSelect.selectedIndex >= 0) {
return modelSelect.options[modelSelect.selectedIndex].value;
}
}
async function load_provider_models() {
provider = providerSelect.options[providerSelect.selectedIndex].value;
response = await fetch('/backend-api/v2/models/' + provider);
models = await response.json();
if (models.length > 0) {
modelSelect.classList.add("hidden");
modelProvider.classList.remove("hidden");
modelProvider.innerHTML = '';
models.forEach((model) => {
let option = document.createElement('option');
option.value = option.text = model.model;
option.selected = model.default;
modelProvider.appendChild(option);
});
} else {
modelProvider.classList.add("hidden");
modelSelect.classList.remove("hidden");
}
};
providerSelect.addEventListener("change", load_provider_models)
