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from __future__ import annotations
from curl_cffi.requests import AsyncSession
import uuid
import json
from .base_provider import AsyncProvider, get_cookies, format_prompt
from ..typing import AsyncGenerator
class OpenaiChat(AsyncProvider):
url = "https://chat.openai.com"
needs_auth = True
working = True
supports_gpt_35_turbo = True
_access_token = None
@classmethod
async def create_async(
cls,
model: str,
messages: list[dict[str, str]],
proxy: str = None,
access_token: str = None,
cookies: dict = None,
**kwargs: dict
) -> AsyncGenerator:
proxies = {"https": proxy}
if not access_token:
access_token = await cls.get_access_token(cookies, proxies)
headers = {
"Accept": "text/event-stream",
"Authorization": f"Bearer {access_token}",
}
async with AsyncSession(proxies=proxies, headers=headers, impersonate="chrome107") as session:
messages = [
{
"id": str(uuid.uuid4()),
"author": {"role": "user"},
"content": {"content_type": "text", "parts": [format_prompt(messages)]},
},
]
data = {
"action": "next",
"messages": messages,
"conversation_id": None,
"parent_message_id": str(uuid.uuid4()),
"model": "text-davinci-002-render-sha",
"history_and_training_disabled": True,
}
response = await session.post("https://chat.openai.com/backend-api/conversation", json=data)
response.raise_for_status()
last_message = None
for line in response.content.decode().splitlines():
if line.startswith("data: "):
line = line[6:]
if line == "[DONE]":
break
line = json.loads(line)
if "message" in line:
last_message = line["message"]["content"]["parts"][0]
return last_message
@classmethod
async def get_access_token(cls, cookies: dict = None, proxies: dict = None) -> str:
if not cls._access_token:
cookies = cookies if cookies else get_cookies("chat.openai.com")
async with AsyncSession(proxies=proxies, cookies=cookies, impersonate="chrome107") as session:
response = await session.get("https://chat.openai.com/api/auth/session")
response.raise_for_status()
cls._access_token = response.json()["accessToken"]
return cls._access_token
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("proxy", "str"),
("access_token", "str"),
("cookies", "dict[str, str]")
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
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