gpt4free/g4f/Provider/AItianhu.py

54 lines
1.7 KiB
Python
Raw Normal View History

2023-07-28 13:07:17 +03:00
import json
import requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class AItianhu(BaseProvider):
2023-08-24 22:32:22 +03:00
url = "https://www.aitianhu.com/"
2023-07-28 13:07:17 +03:00
working = False
supports_gpt_35_turbo = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
2023-08-27 18:37:44 +03:00
stream: bool, **kwargs: Any) -> CreateResult:
2023-07-28 13:07:17 +03:00
base = ""
for message in messages:
base += "%s: %s\n" % (message["role"], message["content"])
base += "assistant:"
headers = {
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36"
}
data: dict[str, Any] = {
"prompt": base,
"options": {},
"systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
"temperature": kwargs.get("temperature", 0.8),
"top_p": kwargs.get("top_p", 1),
}
url = "https://www.aitianhu.com/api/chat-process"
response = requests.post(url, headers=headers, json=data)
response.raise_for_status()
lines = response.text.strip().split("\n")
res = json.loads(lines[-1])
yield res["text"]
@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})"