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Add webview support to OpenaiChat

This commit is contained in:
Heiner Lohaus 2024-03-14 13:53:57 +01:00
parent 13f1275ca3
commit 993c9498c4
5 changed files with 130 additions and 61 deletions
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4
g4f/Provider/Bing.py
View File

@ -303,7 +303,7 @@ def create_message(
struct['arguments'][0]['previousMessages'] = [{
"author": "user",
"description": context,
"contextType": "WebPage",
"contextType": "ClientApp",
"messageType": "Context",
"messageId": "discover-web--page-ping-mriduna-----"
}]
@ -404,6 +404,8 @@ async def stream_generate(
image_client = BingCreateImages(cookies, proxy)
image_response = await image_client.create_async(prompt)
except Exception as e:
if debug.logging:
print(f"Bing: Failed to create images: {e}")
response_txt += f"\nhttps://www.bing.com/images/create?q={parse.quote(prompt)}"
do_read = False
if response_txt.startswith(returned_text):

164
g4f/Provider/needs_auth/OpenaiChat.py
View File

@ -14,6 +14,12 @@ try:
except ImportError:
has_arkose_generator = False
try:
import webview
has_webview = True
except ImportError:
has_webview = False
try:
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
@ -25,10 +31,10 @@ from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ..helper import get_cookies
from ...webdriver import get_browser
from ...typing import AsyncResult, Messages, Cookies, ImageType, Union, AsyncIterator
from ...requests import get_args_from_browser
from ...requests import get_args_from_browser, raise_for_status
from ...requests.aiohttp import StreamSession
from ...image import to_image, to_bytes, ImageResponse, ImageRequest
from ...errors import MissingRequirementsError, MissingAuthError
from ...errors import MissingRequirementsError, MissingAuthError, ProviderNotWorkingError
from ... import debug
class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
@ -134,7 +140,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
}
# Post the image data to the service and get the image data
async with session.post(f"{cls.url}/backend-api/files", json=data, headers=headers) as response:
response.raise_for_status()
cls._update_request_args()
await raise_for_status(response)
image_data = {
**data,
**await response.json(),
@ -152,14 +159,15 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
"x-ms-blob-type": "BlockBlob"
}
) as response:
response.raise_for_status()
await raise_for_status(response)
# Post the file ID to the service and get the download URL
async with session.post(
f"{cls.url}/backend-api/files/{image_data['file_id']}/uploaded",
json={},
headers=headers
) as response:
response.raise_for_status()
cls._update_request_args(session)
await raise_for_status(response)
image_data["download_url"] = (await response.json())["download_url"]
return ImageRequest(image_data)
@ -178,7 +186,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
if not cls.default_model:
async with session.get(f"{cls.url}/backend-api/models", headers=headers) as response:
cls._update_request_args(session)
response.raise_for_status()
await raise_for_status(response)
data = await response.json()
if "categories" in data:
cls.default_model = data["categories"][-1]["default_model"]
@ -261,7 +269,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
file_id = first_part["asset_pointer"].split("file-service://", 1)[1]
try:
async with session.get(f"{cls.url}/backend-api/files/{file_id}/download", headers=headers) as response:
response.raise_for_status()
cls._update_request_args(session)
await raise_for_status(response)
download_url = (await response.json())["download_url"]
return ImageResponse(download_url, prompt)
except Exception as e:
@ -288,6 +297,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
json={"is_visible": False},
headers=headers
) as response:
cls._update_request_args(session)
...
@classmethod
@ -337,31 +347,32 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
if parent_id is None:
parent_id = str(uuid.uuid4())
# Read api_key from arguments
api_key = kwargs["access_token"] if "access_token" in kwargs else api_key
async with StreamSession(
proxies={"https": proxy},
impersonate="chrome",
timeout=timeout
) as session:
# Read api_key and cookies from cache / browser config
api_key = kwargs["access_token"] if "access_token" in kwargs else api_key
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
if cls._headers is None:
cookies = get_cookies("chat.openai.com", False) if cookies is None else cookies
api_key = cookies["access_token"] if "access_token" in cookies else api_key
cls._create_request_args(cookies)
if api_key is None:
try:
await cls.webview_access_token() if has_webview else None
except Exception as e:
if debug.logging:
print(f"Use webview failed: {e}")
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)
# Load default model
if cls.default_model is None and api_key is not None:
if api_key is not None:
cls._create_request_args(cookies)
cls._set_api_key(api_key)
if cls.default_model is None and cls._headers is not None:
try:
if not model:
cls._set_api_key(api_key)
cls.default_model = cls.get_model(await cls.get_default_model(session, cls._headers))
else:
cls.default_model = cls.get_model(model)
@ -369,8 +380,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
if debug.logging:
print("OpenaiChat: Load default_model failed")
print(f"{e.__class__.__name__}: {e}")
# Browse api_key and default model
if api_key is None or cls.default_model is None:
if cls.default_model is None:
login_url = os.environ.get("G4F_LOGIN_URL")
if login_url:
yield f"Please login: [ChatGPT]({login_url})\n\n"
@ -379,20 +389,21 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
except MissingRequirementsError:
raise MissingAuthError(f'Missing "access_token". Add a "api_key" please')
cls.default_model = cls.get_model(await cls.get_default_model(session, cls._headers))
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()
cls._update_request_args(session)
await raise_for_status(response)
data = await response.json()
blob = data["arkose"]["dx"]
need_arkose = data["arkose"]["required"]
chat_token = data["token"]
if need_arkose and not has_arkose_generator:
raise ProviderNotWorkingError("OpenAI Plus Subscriber are not working")
raise MissingRequirementsError('Install "py-arkose-generator" package')
try:
@ -407,6 +418,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
while fields.finish_reason is None:
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
websocket_request_id = str(uuid.uuid4())
data = {
"action": action,
"conversation_mode": {"kind": "primary_assistant"},
@ -416,25 +428,29 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
"parent_message_id": parent_id,
"model": model,
"history_and_training_disabled": history_disabled and not auto_continue,
"websocket_request_id": websocket_request_id
}
if action != "continue":
messages = messages if conversation_id is None else [messages[-1]]
data["messages"] = cls.create_messages(messages, image_request)
data["messages"] = cls.create_messages(messages, image_request)
headers = {
"Accept": "text/event-stream",
"OpenAI-Sentinel-Chat-Requirements-Token": chat_token,
**cls._headers
}
if need_arkose:
raise ProviderNotWorkingError("OpenAI Plus Subscriber are not working")
headers["OpenAI-Sentinel-Arkose-Token"] = await cls.get_arkose_token(session, cls._headers, blob)
headers["OpenAI-Sentinel-Chat-Requirements-Token"] = chat_token
async with session.post(
f"{cls.url}/backend-api/conversation",
json=data,
headers={
"Accept": "text/event-stream",
**({"OpenAI-Sentinel-Arkose-Token": await cls.get_arkose_token(session)} if need_arkose else {}),
"OpenAI-Sentinel-Chat-Requirements-Token": chat_token,
**cls._headers
}
headers=headers
) as response:
cls._update_request_args(session)
if not response.ok:
raise RuntimeError(f"Response {response.status}: {await response.text()}")
async for chunk in cls.iter_messages_chunk(response.iter_lines(), session, fields):
await raise_for_status(response)
async for chunk in cls.iter_messages_chunk(response.iter_lines(), session, fields, websocket_request_id):
if response_fields:
response_fields = False
yield fields
@ -447,21 +463,35 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
await cls.delete_conversation(session, cls._headers, fields.conversation_id)
@staticmethod
async def iter_messages_ws(ws: ClientWebSocketResponse, conversation_id: str) -> AsyncIterator:
async def iter_messages_ws(ws: ClientWebSocketResponse, conversation_id: str, is_curl: bool) -> AsyncIterator:
while True:
message = await ws.receive_json()
if is_curl:
message = json.loads(ws.recv()[0])
else:
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:
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":'):
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):
ws = await session.ws_connect(message["wss_url"])
try:
async for chunk in cls.iter_messages_chunk(
cls.iter_messages_ws(ws, message["conversation_id"], hasattr(ws, "recv")),
session, fields
):
yield chunk
finally:
await ws.aclose()
break
async for chunk in cls.iter_messages_line(session, message, fields):
if fields.finish_reason is not None:
@ -513,6 +543,43 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
if "finish_details" in line["message"]["metadata"]:
fields.finish_reason = line["message"]["metadata"]["finish_details"]["type"]
@classmethod
async def webview_access_token(cls) -> str:
window = webview.create_window("OpenAI Chat", cls.url)
await asyncio.sleep(3)
prompt_input = None
while not prompt_input:
try:
await asyncio.sleep(1)
prompt_input = window.dom.get_element("#prompt-textarea")
except:
...
window.evaluate_js("""
this._fetch = this.fetch;
this.fetch = async (url, options) => {
const response = await this._fetch(url, options);
if (url == "https://chat.openai.com/backend-api/conversation") {
this._headers = options.headers;
return response;
}
return response;
};
""")
window.evaluate_js("""
document.querySelector('.from-token-main-surface-secondary').click();
""")
headers = None
while headers is None:
headers = window.evaluate_js("this._headers")
await asyncio.sleep(1)
headers["User-Agent"] = window.evaluate_js("window.navigator.userAgent")
cookies = [list(*cookie.items()) for cookie in window.get_cookies()]
window.destroy()
cls._cookies = dict([(name, cookie.value) for name, cookie in cookies])
cls._headers = headers
cls._expires = int(time.time()) + 60 * 60 * 4
cls._update_cookie_header()
@classmethod
def browse_access_token(cls, proxy: str = None, timeout: int = 1200) -> None:
"""
@ -542,10 +609,10 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
cls._update_cookie_header()
cls._set_api_key(access_token)
finally:
driver.close()
driver.close()
@classmethod
async def get_arkose_token(cls, session: StreamSession) -> str:
async def get_arkose_token(cls, session: StreamSession, headers: dict, blob: str) -> str:
"""
Obtain an Arkose token for the session.
@ -559,16 +626,15 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
RuntimeError: If unable to retrieve the token.
"""
config = {
"pkey": "3D86FBBA-9D22-402A-B512-3420086BA6CC",
"pkey": "35536E1E-65B4-4D96-9D97-6ADB7EFF8147",
"surl": "https://tcr9i.chat.openai.com",
"headers": {
"User-Agent": 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36'
},
"headers": headers,
"site": cls.url,
"data": {"blob": blob}
}
args_for_request = get_values_for_request(config)
async with session.post(**args_for_request) as response:
response.raise_for_status()
await raise_for_status(response)
decoded_json = await response.json()
if "token" in decoded_json:
return decoded_json["token"]
@ -591,7 +657,9 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
@classmethod
def _create_request_args(cls, cookies: Union[Cookies, None]):
cls._headers = {}
cls._headers = {
"User-Agent": 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36'
}
cls._cookies = {} if cookies is None else cookies
cls._update_cookie_header()

3
g4f/gui/client/html/index.html
View File

@ -161,10 +161,7 @@
<option value="gemini-pro">gemini-pro</option>
<option value="">----</option>
</select>
</div>
<div class="field">
<select name="model2" id="model2" class="hidden">
</select>
</div>
<div class="field">
<select name="jailbreak" id="jailbreak" style="display: none;">

11
g4f/gui/client/js/chat.v1.js
View File

@ -16,9 +16,12 @@ 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", () => {
@ -207,9 +210,7 @@ const ask_gpt = async () => {
window.scrollTo(0, 0);
window.controller = new AbortController();
jailbreak = document.getElementById("jailbreak");
window.text = '';
window.text = "";
stop_generating.classList.remove(`stop_generating-hidden`);
@ -246,7 +247,7 @@ const ask_gpt = async () => {
id: window.token,
conversation_id: window.conversation_id,
model: get_selected_model(),
jailbreak: jailbreak.options[jailbreak.selectedIndex].value,
jailbreak: jailbreak?.options[jailbreak.selectedIndex].value,
web_search: document.getElementById(`switch`).checked,
provider: providerSelect.options[providerSelect.selectedIndex].value,
patch_provider: document.getElementById('patch')?.checked,
@ -670,8 +671,6 @@ sidebar_button.addEventListener("click", (event) => {
window.scrollTo(0, 0);
});
const options = ["switch", "model", "model2", "jailbreak", "patch", "provider", "history"];
const register_settings_localstorage = async () => {
options.forEach((id) => {
element = document.getElementById(id);

9
g4f/requests/__init__.py
View File

@ -81,22 +81,25 @@ def get_session_from_browser(url: str, webdriver: WebDriver = None, proxy: str =
impersonate="chrome"
)
def is_cloudflare(text: str):
return '<div id="cf-please-wait">' in text or "<title>Just a moment...</title>" in text
async def raise_for_status_async(response: Union[StreamResponse, ClientResponse], message: str = None):
if response.status in (429, 402):
raise RateLimitError(f"Response {response.status}: Rate limit reached")
message = await response.text() if not response.ok and message is None else message
if response.status == 403 and "<title>Just a moment...</title>" in message:
if response.status == 403 and is_cloudflare(message):
raise ResponseStatusError(f"Response {response.status}: Cloudflare detected")
elif not response.ok:
raise ResponseStatusError(f"Response {response.status}: {message}")
def raise_for_status(response: Union[StreamResponse, ClientResponse, Response, RequestsResponse], message: str = None):
if isinstance(response, StreamSession) or isinstance(response, ClientResponse):
if hasattr(response, "status"):
return raise_for_status_async(response, message)
if response.status_code in (429, 402):
raise RateLimitError(f"Response {response.status_code}: Rate limit reached")
elif response.status_code == 403 and "<title>Just a moment...</title>" in response.text:
elif response.status_code == 403 and is_cloudflare(response.text):
raise ResponseStatusError(f"Response {response.status_code}: Cloudflare detected")
elif not response.ok:
raise ResponseStatusError(f"Response {response.status_code}: {response.text if message is None else message}")