mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-29 14:11:40 +03:00
79 lines
2.7 KiB
Python
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})"
|