gpt4free/g4f/Provider/DfeHub.py
2023-08-14 11:46:32 +09:00

79 lines
2.7 KiB
Python

import json
import re
import time
import requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class DfeHub(BaseProvider):
url = "https://chat.dfehub.com/api/chat"
supports_stream = True
supports_gpt_35_turbo = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs: Any,
) -> CreateResult:
headers = {
"authority": "chat.dfehub.com",
"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",
"content-type": "application/json",
"origin": "https://chat.dfehub.com",
"referer": "https://chat.dfehub.com/",
"sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"macOS"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
"x-requested-with": "XMLHttpRequest",
}
json_data = {
"messages": messages,
"model": "gpt-3.5-turbo",
"temperature": kwargs.get("temperature", 0.5),
"presence_penalty": kwargs.get("presence_penalty", 0),
"frequency_penalty": kwargs.get("frequency_penalty", 0),
"top_p": kwargs.get("top_p", 1),
"stream": True,
}
response = requests.post(
"https://chat.dfehub.com/api/openai/v1/chat/completions",
headers=headers,
json=json_data,
)
for chunk in response.iter_lines():
if b"detail" in chunk:
delay = re.findall(r"\d+\.\d+", chunk.decode())
delay = float(delay[-1])
time.sleep(delay)
yield from DfeHub.create_completion(model, messages, stream, **kwargs)
if b"content" in chunk:
data = json.loads(chunk.decode().split("data: ")[1])
yield (data["choices"][0]["delta"]["content"])
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("temperature", "float"),
("presence_penalty", "int"),
("frequency_penalty", "int"),
("top_p", "int"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"