mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-18 08:02:09 +03:00
79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
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import json
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import re
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import time
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import requests
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from ..typing import Any, CreateResult
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from .base_provider import BaseProvider
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class DfeHub(BaseProvider):
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url = "https://chat.dfehub.com/api/chat"
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supports_stream = True
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supports_gpt_35_turbo = True
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@staticmethod
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def create_completion(
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model: str,
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messages: list[dict[str, str]],
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stream: bool,
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**kwargs: Any,
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) -> CreateResult:
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headers = {
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"authority": "chat.dfehub.com",
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"accept": "*/*",
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"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",
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"content-type": "application/json",
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"origin": "https://chat.dfehub.com",
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"referer": "https://chat.dfehub.com/",
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"sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": '"macOS"',
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"sec-fetch-dest": "empty",
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"sec-fetch-mode": "cors",
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"sec-fetch-site": "same-origin",
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"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",
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"x-requested-with": "XMLHttpRequest",
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}
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json_data = {
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"messages": messages,
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"model": "gpt-3.5-turbo",
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"temperature": kwargs.get("temperature", 0.5),
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"presence_penalty": kwargs.get("presence_penalty", 0),
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"frequency_penalty": kwargs.get("frequency_penalty", 0),
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"top_p": kwargs.get("top_p", 1),
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"stream": True,
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}
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response = requests.post(
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"https://chat.dfehub.com/api/openai/v1/chat/completions",
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headers=headers,
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json=json_data,
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)
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for chunk in response.iter_lines():
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if b"detail" in chunk:
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delay = re.findall(r"\d+\.\d+", chunk.decode())
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delay = float(delay[-1])
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time.sleep(delay)
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yield from DfeHub.create_completion(model, messages, stream, **kwargs)
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if b"content" in chunk:
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data = json.loads(chunk.decode().split("data: ")[1])
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yield (data["choices"][0]["delta"]["content"])
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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("temperature", "float"),
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("presence_penalty", "int"),
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("frequency_penalty", "int"),
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("top_p", "int"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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