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authorHeiner Lohaus <hlohaus@users.noreply.github.com>2024-02-29 14:44:51 +0100
committerHeiner Lohaus <hlohaus@users.noreply.github.com>2024-02-29 14:44:51 +0100
commit3b96c27e3c7483f63d758d056ec5f0cd2fde0f8b (patch)
treeafe2fd00ba7ef0abebce7d80f1d4d5568a3b7195 /g4f/gui/client/js/chat.v1.js
parentAdd websocket support in OpenaiChat (diff)
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Diffstat (limited to 'g4f/gui/client/js/chat.v1.js')
-rw-r--r--g4f/gui/client/js/chat.v1.js91
1 files changed, 62 insertions, 29 deletions
diff --git a/g4f/gui/client/js/chat.v1.js b/g4f/gui/client/js/chat.v1.js
index 8b065be2..ff486c6e 100644
--- a/g4f/gui/client/js/chat.v1.js
+++ b/g4f/gui/client/js/chat.v1.js
@@ -5,10 +5,12 @@ const message_input = document.getElementById(`message-input`);
const box_conversations = document.querySelector(`.top`);
const stop_generating = document.querySelector(`.stop_generating`);
const regenerate = document.querySelector(`.regenerate`);
-const send_button = document.querySelector(`#send-button`);
-const imageInput = document.querySelector('#image');
-const cameraInput = document.querySelector('#camera');
-const fileInput = document.querySelector('#file');
+const send_button = 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 modelSelect = document.getElementById("model");
let prompt_lock = false;
@@ -75,6 +77,7 @@ const handle_ask = async () => {
if (message.length > 0) {
message_input.value = '';
prompt_lock = true;
+ count_input()
await add_conversation(window.conversation_id, message);
if ("text" in fileInput.dataset) {
message += '\n```' + fileInput.dataset.type + '\n';
@@ -89,6 +92,7 @@ const handle_ask = async () => {
if (input.files.length > 0) imageInput.dataset.src = URL.createObjectURL(input.files[0]);
else delete imageInput.dataset.src
+ model = modelSelect.options[modelSelect.selectedIndex].value
message_box.innerHTML += `
<div class="message" data-index="${message_index}">
<div class="user">
@@ -97,11 +101,14 @@ const handle_ask = async () => {
<i class="fa-regular fa-phone-arrow-up-right"></i>
</div>
<div class="content" id="user_${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, model)}</div>
</div>
</div>
`;
@@ -120,19 +127,25 @@ const remove_cancel_button = async () => {
}, 300);
};
-const filter_messages = (messages) => {
+const filter_messages = (messages, filter_last_message = true) => {
// Removes none user messages at end
- let last_message;
- while (last_message = messages.pop()) {
- if (last_message["role"] == "user") {
- messages.push(last_message);
- break;
+ 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 is selected
if (document.getElementById('history')?.checked) {
- messages = [messages[messages.length-1]];
+ if (filter_last_message) {
+ messages = [messages.pop()];
+ } else {
+ messages = [messages.pop(), messages.pop()];
+ }
}
let new_messages = [];
@@ -165,7 +178,6 @@ const ask_gpt = async () => {
jailbreak = document.getElementById("jailbreak");
provider = document.getElementById("provider");
- model = document.getElementById("model");
window.text = '';
stop_generating.classList.remove(`stop_generating-hidden`);
@@ -188,11 +200,13 @@ const ask_gpt = async () => {
<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);
@@ -200,7 +214,7 @@ const ask_gpt = async () => {
let body = JSON.stringify({
id: window.token,
conversation_id: window.conversation_id,
- model: model.options[model.selectedIndex].value,
+ model: modelSelect.options[modelSelect.selectedIndex].value,
jailbreak: jailbreak.options[jailbreak.selectedIndex].value,
web_search: document.getElementById(`switch`).checked,
provider: provider.options[provider.selectedIndex].value,
@@ -270,6 +284,7 @@ const ask_gpt = async () => {
html = html.substring(0, lastIndex) + '<span id="cursor"></span>' + lastElement;
}
content_inner.innerHTML = html;
+ content_count.innerText = count_words_and_tokens(text, provider?.model);
highlight(content_inner);
}
@@ -397,13 +412,13 @@ const load_conversation = async (conversation_id) => {
let messages = await get_messages(conversation_id);
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 tokens_count = next_provider?.model ? count_tokens(next_provider.model, item.content) : "";
- let append_count = tokens_count ? `, ${tokens_count} tokens` : "";
- let words_count = `(${count_words(item.content)} words${append_count})`
+
let provider_link = item?.provider?.name ? `<a href="${item?.provider?.url}" target="_blank">${item.provider.name}</a>` : "";
let provider = provider_link ? `
<div class="provider">
@@ -424,17 +439,18 @@ const load_conversation = async (conversation_id) => {
<div class="content">
${provider}
<div class="content_inner">${markdown_render(item.content)}</div>
- <div class="count">${words_count}</div>
+ <div class="count">${count_words_and_tokens(item.content, next_provider?.model)}</div>
</div>
</div>
`;
}
- const filtered = filter_messages(messages);
+ const filtered = filter_messages(messages, false);
if (filtered.length > 0) {
- let count_total = GPTTokenizer_cl100k_base?.encodeChat(filtered, "gpt-3.5-turbo").length
+ 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">(${count_total} tokens used)</div>`;
+ elements += `<div class="count_total">(${count_total} tokens total)</div>`;
}
}
@@ -467,6 +483,11 @@ function count_tokens(model, text) {
}
}
+function count_words_and_tokens(text, model) {
+ const tokens_count = model ? `, ${count_tokens(model, text)} tokens` : "";
+ return `(${count_words(text)} words${tokens_count})`
+}
+
const get_conversation = async (conversation_id) => {
let conversation = await JSON.parse(
localStorage.getItem(`conversation:${conversation_id}`)
@@ -703,6 +724,16 @@ colorThemes.forEach((themeOption) => {
});
});
+const count_input = async () => {
+ if (message_input.value) {
+ model = modelSelect.options[modelSelect.selectedIndex].value;
+ inputCount.innerText = count_words_and_tokens(message_input.value, model);
+ } else {
+ inputCount.innerHTML = "&nbsp;"
+ }
+};
+message_input.addEventListener("keyup", count_input);
+
window.onload = async () => {
setTheme();
@@ -713,18 +744,21 @@ window.onload = async () => {
}
}
- await setTimeout(() => {
- load_conversations();
- }, 1);
+ count_input();
if (/\/chat\/.+/.test(window.location.href)) {
- await load_conversation(window.conversation_id);
+ load_conversation(window.conversation_id);
} else {
- await say_hello()
+ say_hello()
}
-
- message_input.addEventListener(`keydown`, async (evt) => {
+
+ setTimeout(() => {
+ load_conversations();
+ }, 1);
+
+ message_input.addEventListener("keydown", async (evt) => {
if (prompt_lock) return;
+
if (evt.keyCode === 13 && !evt.shiftKey) {
evt.preventDefault();
console.log("pressed enter");
@@ -768,12 +802,11 @@ observer.observe(message_input, { attributes: true });
(async () => {
response = await fetch('/backend-api/v2/models')
models = await response.json()
- let select = document.getElementById('model');
for (model of models) {
let option = document.createElement('option');
option.value = option.text = model;
- select.appendChild(option);
+ modelSelect.appendChild(option);
}
response = await fetch('/backend-api/v2/providers')