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from __future__ import annotations
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider
class ChatBase(AsyncGeneratorProvider):
url = "https://www.chatbase.co"
supports_gpt_35_turbo = True
working = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
chat_id = 'z2c2HSfKnCTh5J4650V0I'
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
"Accept": "*/*",
"Accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
"Origin": cls.url,
"Referer": f"{cls.url}/",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
}
async with ClientSession(headers=headers) as session:
data = {
"messages": messages,
"captchaCode": "hadsa",
"chatId": chat_id,
"conversationId": f"kcXpqEnqUie3dnJlsRi_O-{chat_id}"
}
async with session.post("https://www.chatbase.co/api/fe/chat", json=data, proxy=proxy) as response:
response.raise_for_status()
async for stream in response.content.iter_any():
yield stream.decode()
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
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