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-rw-r--r--g4f/Provider/GeminiPro.py18
-rw-r--r--g4f/Provider/bing/conversation.py2
-rw-r--r--g4f/Provider/needs_auth/OpenaiChat.py103
-rw-r--r--g4f/gui/client/css/style.css41
-rw-r--r--g4f/gui/client/html/index.html6
-rw-r--r--g4f/gui/client/js/chat.v1.js327
6 files changed, 267 insertions, 230 deletions
diff --git a/g4f/Provider/GeminiPro.py b/g4f/Provider/GeminiPro.py
index 1c5487b1..4e31915a 100644
--- a/g4f/Provider/GeminiPro.py
+++ b/g4f/Provider/GeminiPro.py
@@ -26,38 +26,35 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
stream: bool = False,
proxy: str = None,
api_key: str = None,
- api_base: str = None,
- use_auth_header: bool = True,
+ api_base: str = "https://generativelanguage.googleapis.com/v1beta",
+ use_auth_header: bool = False,
image: ImageType = None,
connector: BaseConnector = None,
**kwargs
) -> AsyncResult:
- model = "gemini-pro-vision" if not model and image else model
+ model = "gemini-pro-vision" if not model and image is not None else model
model = cls.get_model(model)
if not api_key:
raise MissingAuthError('Missing "api_key"')
headers = params = None
- if api_base and use_auth_header:
+ if use_auth_header:
headers = {"Authorization": f"Bearer {api_key}"}
else:
params = {"key": api_key}
- if not api_base:
- api_base = f"https://generativelanguage.googleapis.com/v1beta"
-
method = "streamGenerateContent" if stream else "generateContent"
url = f"{api_base.rstrip('/')}/models/{model}:{method}"
async with ClientSession(headers=headers, connector=get_connector(connector, proxy)) as session:
contents = [
{
- "role": "model" if message["role"] == "assistant" else message["role"],
+ "role": "model" if message["role"] == "assistant" else "user",
"parts": [{"text": message["content"]}]
}
for message in messages
]
- if image:
+ if image is not None:
image = to_bytes(image)
contents[-1]["parts"].append({
"inline_data": {
@@ -87,7 +84,8 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
lines = [b"{\n"]
elif chunk == b",\r\n" or chunk == b"]":
try:
- data = json.loads(b"".join(lines))
+ data = b"".join(lines)
+ data = json.loads(data)
yield data["candidates"][0]["content"]["parts"][0]["text"]
except:
data = data.decode() if isinstance(data, bytes) else data
diff --git a/g4f/Provider/bing/conversation.py b/g4f/Provider/bing/conversation.py
index 919d9c1d..4af9e5fe 100644
--- a/g4f/Provider/bing/conversation.py
+++ b/g4f/Provider/bing/conversation.py
@@ -46,7 +46,7 @@ async def create_conversation(session: ClientSession, proxy: str = None) -> Conv
}
for k, v in headers.items():
session.headers[k] = v
- url = 'https://www.bing.com/turing/conversation/create?bundleVersion=1.1579.2'
+ url = 'https://www.bing.com/turing/conversation/create?bundleVersion=1.1626.1'
async with session.get(url, headers=headers, proxy=proxy) as response:
try:
data = await response.json()
diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py
index e507404b..3d19e003 100644
--- a/g4f/Provider/needs_auth/OpenaiChat.py
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -5,15 +5,15 @@ import uuid
import json
import os
import base64
+import time
from aiohttp import ClientWebSocketResponse
try:
from py_arkose_generator.arkose import get_values_for_request
- from async_property import async_cached_property
- has_requirements = True
+ has_arkose_generator = True
except ImportError:
- async_cached_property = property
- has_requirements = False
+ has_arkose_generator = False
+
try:
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
@@ -33,7 +33,7 @@ from ... import debug
class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
"""A class for creating and managing conversations with OpenAI chat service"""
-
+
url = "https://chat.openai.com"
working = True
needs_auth = True
@@ -47,7 +47,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
_api_key: str = None
_headers: dict = None
_cookies: Cookies = None
- _last_message: int = 0
+ _expires: int = None
@classmethod
async def create(
@@ -80,7 +80,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
A Response object that contains the generator, action, messages, and options
"""
# Add the user input to the messages list
- if prompt:
+ if prompt is not None:
messages.append({
"role": "user",
"content": prompt
@@ -102,7 +102,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
messages,
kwargs
)
-
+
@classmethod
async def upload_image(
cls,
@@ -162,7 +162,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
response.raise_for_status()
image_data["download_url"] = (await response.json())["download_url"]
return ImageRequest(image_data)
-
+
@classmethod
async def get_default_model(cls, session: StreamSession, headers: dict):
"""
@@ -185,7 +185,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
return cls.default_model
raise RuntimeError(f"Response: {data}")
return cls.default_model
-
+
@classmethod
def create_messages(cls, messages: Messages, image_request: ImageRequest = None):
"""
@@ -334,9 +334,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
Raises:
RuntimeError: If an error occurs during processing.
"""
- if not has_requirements:
- raise MissingRequirementsError('Install "py-arkose-generator" and "async_property" package')
- if not parent_id:
+ if parent_id is None:
parent_id = str(uuid.uuid4())
# Read api_key from arguments
@@ -348,7 +346,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
timeout=timeout
) as session:
# Read api_key and cookies from cache / browser config
- if cls._headers is None:
+ if cls._headers is None or cls._expires is None or time.time() > cls._expires:
if api_key is None:
# Read api_key from cookies
cookies = get_cookies("chat.openai.com", False) if cookies is None else cookies
@@ -357,8 +355,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
else:
api_key = cls._api_key if api_key is None else api_key
# Read api_key with session cookies
- if api_key is None and cookies:
- api_key = await cls.fetch_access_token(session, cls._headers)
+ #if api_key is None and cookies:
+ # api_key = await cls.fetch_access_token(session, cls._headers)
# Load default model
if cls.default_model is None and api_key is not None:
try:
@@ -384,6 +382,19 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
else:
cls._set_api_key(api_key)
+ async with session.post(
+ f"{cls.url}/backend-api/sentinel/chat-requirements",
+ json={"conversation_mode_kind": "primary_assistant"},
+ headers=cls._headers
+ ) as response:
+ response.raise_for_status()
+ data = await response.json()
+ need_arkose = data["arkose"]["required"]
+ chat_token = data["token"]
+
+ if need_arkose and not has_arkose_generator:
+ raise MissingRequirementsError('Install "py-arkose-generator" package')
+
try:
image_request = await cls.upload_image(session, cls._headers, image, image_name) if image else None
except Exception as e:
@@ -394,12 +405,10 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
model = cls.get_model(model).replace("gpt-3.5-turbo", "text-davinci-002-render-sha")
fields = ResponseFields()
while fields.finish_reason is None:
- arkose_token = await cls.get_arkose_token(session)
conversation_id = conversation_id if fields.conversation_id is None else fields.conversation_id
parent_id = parent_id if fields.message_id is None else fields.message_id
data = {
"action": action,
- "arkose_token": arkose_token,
"conversation_mode": {"kind": "primary_assistant"},
"force_paragen": False,
"force_rate_limit": False,
@@ -417,7 +426,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
json=data,
headers={
"Accept": "text/event-stream",
- "OpenAI-Sentinel-Arkose-Token": arkose_token,
+ **({"OpenAI-Sentinel-Arkose-Token": await cls.get_arkose_token(session)} if need_arkose else {}),
+ "OpenAI-Sentinel-Chat-Requirements-Token": chat_token,
**cls._headers
}
) as response:
@@ -437,17 +447,20 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
await cls.delete_conversation(session, cls._headers, fields.conversation_id)
@staticmethod
- async def iter_messages_ws(ws: ClientWebSocketResponse) -> AsyncIterator:
+ async def iter_messages_ws(ws: ClientWebSocketResponse, conversation_id: str) -> AsyncIterator:
while True:
- yield base64.b64decode((await ws.receive_json())["body"])
+ message = await ws.receive_json()
+ if message["conversation_id"] == conversation_id:
+ yield base64.b64decode(message["body"])
@classmethod
async def iter_messages_chunk(cls, messages: AsyncIterator, session: StreamSession, fields: ResponseFields) -> AsyncIterator:
last_message: int = 0
async for message in messages:
if message.startswith(b'{"wss_url":'):
- async with session.ws_connect(json.loads(message)["wss_url"]) as ws:
- async for chunk in cls.iter_messages_chunk(cls.iter_messages_ws(ws), session, fields):
+ message = json.loads(message)
+ async with session.ws_connect(message["wss_url"]) as ws:
+ async for chunk in cls.iter_messages_chunk(cls.iter_messages_ws(ws, message["conversation_id"]), session, fields):
yield chunk
break
async for chunk in cls.iter_messages_line(session, message, fields):
@@ -467,6 +480,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
if not line.startswith(b"data: "):
return
elif line.startswith(b"data: [DONE]"):
+ if fields.finish_reason is None:
+ fields.finish_reason = "error"
return
try:
line = json.loads(line[6:])
@@ -589,22 +604,13 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
@classmethod
def _set_api_key(cls, api_key: str):
cls._api_key = api_key
+ cls._expires = int(time.time()) + 60 * 60 * 4
cls._headers["Authorization"] = f"Bearer {api_key}"
@classmethod
def _update_cookie_header(cls):
cls._headers["Cookie"] = cls._format_cookies(cls._cookies)
-class EndTurn:
- """
- Class to represent the end of a conversation turn.
- """
- def __init__(self):
- self.is_end = False
-
- def end(self):
- self.is_end = True
-
class ResponseFields:
"""
Class to encapsulate response fields.
@@ -633,8 +639,8 @@ class Response():
self._options = options
self._fields = None
- async def generator(self):
- if self._generator:
+ async def generator(self) -> AsyncIterator:
+ if self._generator is not None:
self._generator = None
chunks = []
async for chunk in self._generator:
@@ -644,27 +650,29 @@ class Response():
yield chunk
chunks.append(str(chunk))
self._message = "".join(chunks)
- if not self._fields:
+ if self._fields is None:
raise RuntimeError("Missing response fields")
- self.is_end = self._fields.end_turn
+ self.is_end = self._fields.finish_reason == "stop"
def __aiter__(self):
return self.generator()
- @async_cached_property
- async def message(self) -> str:
+ async def get_message(self) -> str:
await self.generator()
return self._message
- async def get_fields(self):
+ async def get_fields(self) -> dict:
await self.generator()
- return {"conversation_id": self._fields.conversation_id, "parent_id": self._fields.message_id}
+ return {
+ "conversation_id": self._fields.conversation_id,
+ "parent_id": self._fields.message_id
+ }
- async def next(self, prompt: str, **kwargs) -> Response:
+ async def create_next(self, prompt: str, **kwargs) -> Response:
return await OpenaiChat.create(
**self._options,
prompt=prompt,
- messages=await self.messages,
+ messages=await self.get_messages(),
action="next",
**await self.get_fields(),
**kwargs
@@ -676,13 +684,13 @@ class Response():
raise RuntimeError("Can't continue message. Message already finished.")
return await OpenaiChat.create(
**self._options,
- messages=await self.messages,
+ messages=await self.get_messages(),
action="continue",
**fields,
**kwargs
)
- async def variant(self, **kwargs) -> Response:
+ async def create_variant(self, **kwargs) -> Response:
if self.action != "next":
raise RuntimeError("Can't create variant from continue or variant request.")
return await OpenaiChat.create(
@@ -693,8 +701,7 @@ class Response():
**kwargs
)
- @async_cached_property
- async def messages(self):
+ async def get_messages(self) -> list:
messages = self._messages
- messages.append({"role": "assistant", "content": await self.message})
+ messages.append({"role": "assistant", "content": await self.message()})
return messages \ No newline at end of file
diff --git a/g4f/gui/client/css/style.css b/g4f/gui/client/css/style.css
index 6ae720f3..eb71fa72 100644
--- a/g4f/gui/client/css/style.css
+++ b/g4f/gui/client/css/style.css
@@ -65,6 +65,7 @@
:root {
--font-1: "Inter", sans-serif;
--section-gap: 25px;
+ --inner-gap: 15px;
--border-radius-1: 8px;
}
@@ -204,6 +205,12 @@ body {
gap: 10px;
}
+.conversations .convo .choise {
+ position: absolute;
+ right: 8px;
+ background-color: var(--blur-bg);
+}
+
.conversations i {
color: var(--conversations);
cursor: pointer;
@@ -222,10 +229,14 @@ body {
overflow-wrap: break-word;
display: flex;
gap: var(--section-gap);
- padding: var(--section-gap);
+ padding: var(--inner-gap) var(--section-gap);
padding-bottom: 0;
}
+.message.regenerate {
+ opacity: 0.75;
+}
+
.message:last-child {
animation: 0.6s show_message;
}
@@ -393,10 +404,10 @@ body {
#input-count {
width: fit-content;
font-size: 12px;
- padding: 6px 15px;
+ padding: 6px var(--inner-gap);
}
-.stop_generating, .regenerate {
+.stop_generating, .toolbar .regenerate {
position: absolute;
z-index: 1000000;
top: 0;
@@ -404,20 +415,20 @@ body {
}
@media only screen and (min-width: 40em) {
- .stop_generating, .regenerate {
+ .stop_generating, .toolbar .regenerate {
left: 50%;
transform: translateX(-50%);
right: auto;
}
}
-.stop_generating button, .regenerate button{
+.stop_generating button, .toolbar .regenerate button{
backdrop-filter: blur(20px);
-webkit-backdrop-filter: blur(20px);
background-color: var(--blur-bg);
border-radius: var(--border-radius-1);
border: 1px solid var(--blur-border);
- padding: 5px 15px;
+ padding: 5px var(--inner-gap);
color: var(--colour-3);
display: flex;
justify-content: center;
@@ -601,7 +612,6 @@ select {
.input-box {
display: flex;
align-items: center;
- padding-right: 15px;
cursor: pointer;
}
@@ -785,7 +795,7 @@ a:-webkit-any-link {
font-size: 15px;
width: 100%;
height: 100%;
- padding: 12px 15px;
+ padding: 12px var(--inner-gap);
background: none;
border: none;
outline: none;
@@ -990,10 +1000,21 @@ a:-webkit-any-link {
padding-right: 5px;
padding-top: 2px;
padding-bottom: 2px;
- top: 20px;
- left: 8px;
+ position: absolute;
+ bottom: 8px;
+ right: 8px;
}
#send-button:hover {
border: 1px solid #e4d4ffc9;
}
+
+#systemPrompt {
+ font-size: 15px;
+ width: 100%;
+ color: var(--colour-3);
+ height: 50px;
+ outline: none;
+ padding: var(--inner-gap) var(--section-gap);
+ resize: vertical;
+} \ No newline at end of file
diff --git a/g4f/gui/client/html/index.html b/g4f/gui/client/html/index.html
index 86ab157d..85192d23 100644
--- a/g4f/gui/client/html/index.html
+++ b/g4f/gui/client/html/index.html
@@ -37,10 +37,6 @@
import llamaTokenizer from "llama-tokenizer-js"
</script>
<script src="https://unpkg.com/gpt-tokenizer/dist/cl100k_base.js" async></script>
- <script type="module" async>
- import { countWords } from 'https://esm.run/alfaaz';
- window.countWords = countWords;
- </script>
<script>
const user_image = '<img src="/assets/img/user.png" alt="your avatar">';
const gpt_image = '<img src="/assets/img/gpt.png" alt="your avatar">';
@@ -55,7 +51,6 @@
}
#message-input {
- margin-right: 30px;
height: 82px;
margin-left: 20px;
}
@@ -116,6 +111,7 @@
</div>
</div>
<div class="conversation">
+ <textarea id="systemPrompt" class="box" placeholder="System prompt"></textarea>
<div id="messages" class="box"></div>
<div class="toolbar">
<div id="input-count" class="">
diff --git a/g4f/gui/client/js/chat.v1.js b/g4f/gui/client/js/chat.v1.js
index 7135b8f6..8dd17275 100644
--- a/g4f/gui/client/js/chat.v1.js
+++ b/g4f/gui/client/js/chat.v1.js
@@ -1,28 +1,29 @@
const colorThemes = document.querySelectorAll('[name="theme"]');
const markdown = window.markdownit();
const message_box = document.getElementById(`messages`);
-const message_input = document.getElementById(`message-input`);
+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 send_button = document.getElementById("send-button");
+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 modelSelect = document.getElementById("model");
+const systemPrompt = document.getElementById("systemPrompt")
let prompt_lock = false;
hljs.addPlugin(new CopyButtonPlugin());
-message_input.addEventListener("blur", () => {
+messageInput.addEventListener("blur", () => {
window.scrollTo(0, 0);
});
-message_input.addEventListener("focus", () => {
+messageInput.addEventListener("focus", () => {
document.documentElement.scrollTop = document.documentElement.scrollHeight;
});
@@ -59,7 +60,7 @@ const register_remove_message = async () => {
}
const message_el = el.parentElement.parentElement;
await remove_message(window.conversation_id, message_el.dataset.index);
- await load_conversation(window.conversation_id);
+ await load_conversation(window.conversation_id, false);
})
}
});
@@ -77,13 +78,13 @@ const delete_conversations = async () => {
};
const handle_ask = async () => {
- message_input.style.height = `82px`;
- message_input.focus();
+ messageInput.style.height = "82px";
+ messageInput.focus();
window.scrollTo(0, 0);
- message = message_input.value
+ message = messageInput.value
if (message.length > 0) {
- message_input.value = '';
+ messageInput.value = "";
prompt_lock = true;
count_input()
await add_conversation(window.conversation_id, message);
@@ -135,7 +136,7 @@ const remove_cancel_button = async () => {
}, 300);
};
-const filter_messages = (messages, filter_last_message = true) => {
+const prepare_messages = (messages, filter_last_message = true) => {
// Removes none user messages at end
if (filter_last_message) {
let last_message;
@@ -147,7 +148,7 @@ const filter_messages = (messages, filter_last_message = true) => {
}
}
- // Remove history, if it is selected
+ // Remove history, if it's selected
if (document.getElementById('history')?.checked) {
if (filter_last_message) {
messages = [messages.pop()];
@@ -157,20 +158,31 @@ const filter_messages = (messages, filter_last_message = true) => {
}
let new_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)
+ 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;
}
@@ -179,7 +191,7 @@ const ask_gpt = async () => {
messages = await get_messages(window.conversation_id);
total_messages = messages.length;
- messages = filter_messages(messages);
+ messages = prepare_messages(messages);
window.scrollTo(0, 0);
window.controller = new AbortController();
@@ -192,8 +204,6 @@ const ask_gpt = async () => {
message_box.scrollTop = message_box.scrollHeight;
window.scrollTo(0, 0);
- await new Promise((r) => setTimeout(r, 500));
- window.scrollTo(0, 0);
el = message_box.querySelector('.count_total');
el ? el.parentElement.removeChild(el) : null;
@@ -218,6 +228,8 @@ const ask_gpt = async () => {
message_box.scrollTop = message_box.scrollHeight;
window.scrollTo(0, 0);
+
+ error = provider_result = null;
try {
let body = JSON.stringify({
id: window.token,
@@ -241,49 +253,47 @@ const ask_gpt = async () => {
} else {
headers['content-type'] = 'application/json';
}
+
const response = await fetch(`/backend-api/v2/conversation`, {
method: 'POST',
signal: window.controller.signal,
headers: headers,
body: body
});
-
- await new Promise((r) => setTimeout(r, 1000));
- window.scrollTo(0, 0);
-
const reader = response.body.pipeThrough(new TextDecoderStream()).getReader();
- error = provider = null;
while (true) {
const { value, done } = await reader.read();
if (done) break;
for (const line of value.split("\n")) {
- if (!line) continue;
+ if (!line) {
+ continue;
+ }
const message = JSON.parse(line);
if (message.type == "content") {
text += message.content;
- } else if (message["type"] == "provider") {
- provider = message.provider
+ } else if (message.type == "provider") {
+ provider_result = message.provider
content.querySelector('.provider').innerHTML = `
- <a href="${provider.url}" target="_blank">
- ${provider.name}
+ <a href="${provider_result.url}" target="_blank">
+ ${provider_result.name}
</a>
- ${provider.model ? ' with ' + provider.model : ''}
+ ${provider_result.model ? ' with ' + provider_result.model : ''}
`
- } else if (message["type"] == "error") {
- error = message["error"];
- } else if (message["type"] == "message") {
- console.error(message["message"])
+ } 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>An error occured, please try again, if the problem persists, please use a other model or provider.</p>";
+ 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>', '</li>\n</ol>', '</li>\n</ul>']) {
+ for (element of ['</p>', '</code></pre>', '</p>\n</li>\n</ol>', '</li>\n</ol>', '</li>\n</ul>']) {
const index = html.lastIndexOf(element)
- if (index > lastIndex) {
+ if (index - element.length > lastIndex) {
lastElement = element;
lastIndex = index;
}
@@ -292,7 +302,7 @@ 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);
+ content_count.innerText = count_words_and_tokens(text, provider_result?.model);
highlight(content_inner);
}
@@ -302,7 +312,6 @@ const ask_gpt = async () => {
}
}
if (!error) {
- // Remove cursor
html = markdown_render(text);
content_inner.innerHTML = html;
highlight(content_inner);
@@ -313,30 +322,29 @@ const ask_gpt = async () => {
}
} 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]`;
- text += ` [aborted]`
+ content_inner.innerHTML += " [aborted]";
+ if (text) text += " [aborted]";
}
}
- if (!error) {
- await add_message(window.conversation_id, "assistant", text, provider);
+ 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;
- window.scrollTo(0, 0);
await load_conversations();
- regenerate.classList.remove(`regenerate-hidden`);
+ regenerate.classList.remove("regenerate-hidden");
};
const clear_conversations = async () => {
@@ -366,22 +374,18 @@ const clear_conversation = async () => {
const show_option = async (conversation_id) => {
const conv = document.getElementById(`conv-${conversation_id}`);
- const yes = document.getElementById(`yes-${conversation_id}`);
- const not = document.getElementById(`not-${conversation_id}`);
+ const choi = document.getElementById(`cho-${conversation_id}`);
- conv.style.display = `none`;
- yes.style.display = `block`;
- not.style.display = `block`;
+ conv.style.display = "none";
+ choi.style.display = "block";
};
const hide_option = async (conversation_id) => {
const conv = document.getElementById(`conv-${conversation_id}`);
- const yes = document.getElementById(`yes-${conversation_id}`);
- const not = document.getElementById(`not-${conversation_id}`);
+ const choi = document.getElementById(`cho-${conversation_id}`);
- conv.style.display = `block`;
- yes.style.display = `none`;
- not.style.display = `none`;
+ conv.style.display = "block";
+ choi.style.display = "none";
};
const delete_conversation = async (conversation_id) => {
@@ -412,23 +416,31 @@ const new_conversation = async () => {
window.conversation_id = uuid();
await clear_conversation();
+ if (systemPrompt) {
+ systemPrompt.value = "";
+ }
load_conversations();
hide_sidebar();
say_hello();
};
-const load_conversation = async (conversation_id) => {
- let messages = await get_messages(conversation_id);
+const load_conversation = async (conversation_id, scroll = true) => {
+ let conversation = await get_conversation(conversation_id);
+ let messages = conversation?.items || [];
+
+ if (systemPrompt) {
+ systemPrompt.value = conversation.system || "";
+ }
let elements = "";
let last_model = null;
for (i in messages) {
let item = messages[i];
- last_model = item?.provider?.model;
+ last_model = item.provider?.model;
let next_i = parseInt(i) + 1;
let next_provider = item.provider ? item.provider : (messages.length > next_i ? messages[next_i].provider : null);
- let provider_link = item.provider?.name ? `<a href="${item.provider?.url}" target="_blank">${item.provider.name}</a>` : "";
+ let provider_link = item.provider?.name ? `<a href="${item.provider.url}" target="_blank">${item.provider.name}</a>` : "";
let provider = provider_link ? `
<div class="provider">
${provider_link}
@@ -436,7 +448,7 @@ const load_conversation = async (conversation_id) => {
</div>
` : "";
elements += `
- <div class="message" data-index="${i}">
+ <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>
@@ -454,7 +466,7 @@ const load_conversation = async (conversation_id) => {
`;
}
- const filtered = filter_messages(messages, false);
+ 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
@@ -468,44 +480,35 @@ const load_conversation = async (conversation_id) => {
register_remove_message();
highlight(message_box);
- message_box.scrollTo({ top: message_box.scrollHeight, behavior: "smooth" });
+ if (scroll) {
+ message_box.scrollTo({ top: message_box.scrollHeight, behavior: "smooth" });
- setTimeout(() => {
- message_box.scrollTop = message_box.scrollHeight;
- }, 500);
-};
-
-function count_tokens(model, text) {
- if (model.startsWith("gpt-3") || model.startsWith("gpt-4")) {
- return GPTTokenizer_cl100k_base?.encode(text).length;
- }
- if (model.startsWith("llama2") || model.startsWith("codellama")) {
- return llamaTokenizer?.encode(text).length;
+ setTimeout(() => {
+ message_box.scrollTop = message_box.scrollHeight;
+ }, 500);
}
- if (model.startsWith("mistral") || model.startsWith("mixtral")) {
- return mistralTokenizer?.encode(text).length;
- }
-}
-
-function count_words_and_tokens(text, model) {
- const tokens_count = model ? count_tokens(model, text) : null;
- const tokens_append = tokens_count ? `, ${tokens_count} tokens` : "";
- return countWords ? `(${countWords(text)} words${tokens_append})` : "";
-}
+};
-const get_conversation = async (conversation_id) => {
+async function get_conversation(conversation_id) {
let conversation = await JSON.parse(
localStorage.getItem(`conversation:${conversation_id}`)
);
return conversation;
-};
+}
+
+async function save_conversation(conversation_id, conversation) {
+ localStorage.setItem(
+ `conversation:${conversation_id}`,
+ JSON.stringify(conversation)
+ );
+}
-const get_messages = async (conversation_id) => {
+async function get_messages(conversation_id) {
let conversation = await get_conversation(conversation_id);
return conversation?.items || [];
-};
+}
-const add_conversation = async (conversation_id, content) => {
+async function add_conversation(conversation_id, content) {
if (content.length > 17) {
title = content.substring(0, 17) + '...'
} else {
@@ -513,31 +516,34 @@ const add_conversation = async (conversation_id, content) => {
}
if (localStorage.getItem(`conversation:${conversation_id}`) == null) {
- localStorage.setItem(
- `conversation:${conversation_id}`,
- JSON.stringify({
- id: conversation_id,
- title: title,
- items: [],
- })
- );
+ await save_conversation(conversation_id, {
+ id: conversation_id,
+ title: title,
+ system: systemPrompt?.value,
+ items: [],
+ });
}
history.pushState({}, null, `/chat/${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["role"] == "assistant") {
- last_message["regenerate"] = true;
+ if (last_message !== null) {
+ if (last_message["role"] == "assistant") {
+ last_message["regenerate"] = true;
+ }
+ conversation.items.push(last_message);
}
- conversation.items.push(last_message);
-
- localStorage.setItem(
- `conversation:${conversation_id}`,
- JSON.stringify(conversation)
- );
+ await save_conversation(conversation_id, conversation);
};
const remove_message = async (conversation_id, index) => {
@@ -545,17 +551,16 @@ const remove_message = async (conversation_id, index) => {
let new_items = [];
for (i in conversation.items) {
if (i == index - 1) {
- delete conversation.items[i]["regenerate"];
+ if (!conversation.items[index]?.regenerate) {
+ delete conversation.items[i]["regenerate"];
+ }
}
if (i != index) {
new_items.push(conversation.items[i])
}
}
conversation.items = new_items;
- localStorage.setItem(
- `conversation:${conversation_id}`,
- JSON.stringify(conversation)
- );
+ await save_conversation(conversation_id, conversation);
};
const add_message = async (conversation_id, role, content, provider) => {
@@ -566,12 +571,7 @@ const add_message = async (conversation_id, role, content, provider) => {
content: content,
provider: provider
});
-
- localStorage.setItem(
- `conversation:${conversation_id}`,
- JSON.stringify(conversation)
- );
-
+ await save_conversation(conversation_id, conversation);
return conversation.items.length - 1;
};
@@ -594,8 +594,10 @@ const load_conversations = async () => {
<span class="convo-title">${conversation.title}</span>
</div>
<i onclick="show_option('${conversation.id}')" class="fa-regular fa-trash" id="conv-${conversation.id}"></i>
- <i onclick="delete_conversation('${conversation.id}')" class="fa-regular fa-check" id="yes-${conversation.id}" style="display:none;"></i>
- <i onclick="hide_option('${conversation.id}')" class="fa-regular fa-x" id="not-${conversation.id}" style="display:none;"></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('${conversation.id}')" class="fa-regular fa-x"></i>
+ </div>
</div>
`;
}
@@ -733,15 +735,45 @@ colorThemes.forEach((themeOption) => {
});
});
+function count_tokens(model, text) {
+ if (model) {
+ if (model.startsWith("llama2") || model.startsWith("codellama")) {
+ return llamaTokenizer?.encode(text).length;
+ }
+ if (model.startsWith("mistral") || model.startsWith("mixtral")) {
+ return mistralTokenizer?.encode(text).length;
+ }
+ }
+ return GPTTokenizer_cl100k_base?.encode(text).length;
+}
+
+function count_words(text) {
+ return text.trim().match(/[\w\u4E00-\u9FA5]+/gu)?.length || 0;
+}
+
+function count_words_and_tokens(text, model) {
+ return `(${count_words(text)} words, ${count_tokens(model, text)} tokens)`;
+}
+
+let countFocus = messageInput;
const count_input = async () => {
- if (message_input.value) {
+ if (countFocus.value) {
model = modelSelect.options[modelSelect.selectedIndex].value;
- inputCount.innerText = count_words_and_tokens(message_input.value, model);
+ inputCount.innerText = count_words_and_tokens(countFocus.value, model);
} else {
inputCount.innerHTML = "&nbsp;"
}
};
-message_input.addEventListener("keyup", count_input);
+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();
@@ -754,11 +786,9 @@ window.onload = async () => {
say_hello()
}
- setTimeout(() => {
- load_conversations();
- }, 1);
+ load_conversations();
- message_input.addEventListener("keydown", async (evt) => {
+ messageInput.addEventListener("keydown", async (evt) => {
if (prompt_lock) return;
if (evt.keyCode === 13 && !evt.shiftKey) {
@@ -766,41 +796,22 @@ window.onload = async () => {
console.log("pressed enter");
await handle_ask();
} else {
- message_input.style.removeProperty("height");
- message_input.style.height = message_input.scrollHeight + "px";
+ messageInput.style.removeProperty("height");
+ messageInput.style.height = messageInput.scrollHeight + "px";
}
});
- send_button.addEventListener(`click`, async () => {
+ sendButton.addEventListener(`click`, async () => {
console.log("clicked send");
if (prompt_lock) return;
await handle_ask();
});
+ messageInput.focus();
+
register_settings_localstorage();
};
-const observer = new MutationObserver((mutationsList) => {
- for (const mutation of mutationsList) {
- if (mutation.type === 'attributes' && mutation.attributeName === 'style') {
- const height = message_input.offsetHeight;
-
- let heightValues = {
- 81: "20px",
- 82: "20px",
- 100: "30px",
- 119: "39px",
- 138: "49px",
- 150: "55px"
- }
-
- send_button.style.top = heightValues[height] || '';
- }
- }
-});
-
-observer.observe(message_input, { attributes: true });
-
(async () => {
response = await fetch('/backend-api/v2/models')
models = await response.json()
@@ -875,4 +886,8 @@ fileInput.addEventListener('change', async (event) => {
} else {
delete fileInput.dataset.text;
}
+});
+
+systemPrompt?.addEventListener("blur", async () => {
+ await save_system_message();
}); \ No newline at end of file
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-18 01:21:21 +0100