gpt4free/g4f/Provider/AItianhuSpace.py
Heiner Lohaus 98895e5b09 Update HuggingChat to new api
Impersonate Aivvm Provider
Add ChatForAi and FreeGpt Provider
Update AItianhuSpace Provider
Improve StreamRequest Support
Update get_event_loop Helper
2023-10-01 06:38:11 +02:00

79 lines
2.7 KiB
Python

from __future__ import annotations
import random, json
from g4f.requests import AsyncSession
from .base_provider import AsyncGeneratorProvider, format_prompt
domains = {
"gpt-3.5-turbo": ".aitianhu.space",
"gpt-4": ".aitianhu.website",
}
class AItianhuSpace(AsyncGeneratorProvider):
url = "https://chat3.aiyunos.top/"
working = True
supports_gpt_35_turbo = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: list[dict[str, str]],
stream: bool = True,
**kwargs
) -> str:
if not model:
model = "gpt-3.5-turbo"
elif not model in domains:
raise ValueError(f"Model are not supported: {model}")
chars = 'abcdefghijklmnopqrstuvwxyz0123456789'
rand = ''.join(random.choice(chars) for _ in range(6))
domain = domains[model]
url = f'https://{rand}{domain}'
async with AsyncSession(impersonate="chrome110", verify=False) as session:
data = {
"prompt": format_prompt(messages),
"options": {},
"systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.",
"temperature": 0.8,
"top_p": 1,
**kwargs
}
headers = {
"Authority": url,
"Accept": "application/json, text/plain, */*",
"Origin": url,
"Referer": f"{url}/"
}
async with session.post(f"{url}/api/chat-process", json=data, headers=headers) as response:
response.raise_for_status()
async for line in response.content:
if b"platform's risk control" in line:
raise RuntimeError("Platform's Risk Control")
line = json.loads(line.rstrip())
if "detail" in line:
content = line["detail"]["choices"][0]["delta"].get("content")
if content:
yield content
elif "message" in line and "AI-4接口非常昂贵" in line["message"]:
raise RuntimeError("Rate limit for GPT 4 reached")
else:
raise RuntimeError(f"Response: {line}")
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("temperature", "float"),
("top_p", "int"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"