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from __future__ import annotations
import json
from ..requests import StreamSession
from .base_provider import AsyncGeneratorProvider
from ..typing import AsyncGenerator
class Ylokh(AsyncGeneratorProvider):
url = "https://chat.ylokh.xyz"
working = True
supports_gpt_35_turbo = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: list[dict[str, str]],
stream: bool = True,
proxy: str = None,
timeout: int = 30,
**kwargs
) -> AsyncGenerator:
model = model if model else "gpt-3.5-turbo"
headers = {
"Origin" : cls.url,
"Referer" : cls.url + "/",
}
data = {
"messages": messages,
"model": model,
"temperature": 1,
"presence_penalty": 0,
"top_p": 1,
"frequency_penalty": 0,
"allow_fallback": True,
"stream": stream,
**kwargs
}
async with StreamSession(
headers=headers,
proxies={"https": proxy},
timeout=timeout
) as session:
async with session.post("https://chatapi.ylokh.xyz/v1/chat/completions", json=data) as response:
response.raise_for_status()
if stream:
async for line in response.iter_lines():
line = line.decode()
if line.startswith("data: "):
if line.startswith("data: [DONE]"):
break
line = json.loads(line[6:])
content = line["choices"][0]["delta"].get("content")
if content:
yield content
else:
chat = await response.json()
yield chat["choices"][0]["message"].get("content")
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("proxy", "str"),
("temperature", "float"),
("top_p", "float"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
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