mirror of
https://github.com/Balshgit/gpt_chat_bot.git
synced 2025-09-11 22:30:41 +03:00
60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
import json
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import os
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import requests
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from ...typing import get_type_hints
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url = "https://v.chatfree.cc"
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model = ["gpt-3.5-turbo", "gpt-3.5-turbo-16k"]
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supports_stream = False
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needs_auth = False
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def _create_completion(model: str, messages: list, stream: bool, **kwargs):
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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://v.chatfree.cc",
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"referer": "https://v.chatfree.cc/",
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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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"stream": True,
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"model": model,
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"temperature": 0.5,
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"presence_penalty": 0,
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"frequency_penalty": 0,
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"top_p": 1,
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}
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response = requests.post(
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"https://v.chatfree.cc/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"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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params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
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[
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f"{name}: {get_type_hints(_create_completion)[name].__name__}"
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for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
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]
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)
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