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88 lines
2.7 KiB
Python
88 lines
2.7 KiB
Python
import json
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import os
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import uuid
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import requests
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from Crypto.Cipher import AES
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from ..typing import Any, CreateResult
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from .base_provider import BaseProvider
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class GetGpt(BaseProvider):
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url = "https://chat.getgpt.world/"
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supports_stream = True
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working = 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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"Content-Type": "application/json",
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"Referer": "https://chat.getgpt.world/",
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"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",
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}
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data = json.dumps(
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{
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"messages": messages,
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"frequency_penalty": kwargs.get("frequency_penalty", 0),
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"max_tokens": kwargs.get("max_tokens", 4000),
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"model": "gpt-3.5-turbo",
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"presence_penalty": kwargs.get("presence_penalty", 0),
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"temperature": kwargs.get("temperature", 1),
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"top_p": kwargs.get("top_p", 1),
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"stream": True,
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"uuid": str(uuid.uuid4()),
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}
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)
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res = requests.post(
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"https://chat.getgpt.world/api/chat/stream",
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headers=headers,
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json={"signature": _encrypt(data)},
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stream=True,
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)
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res.raise_for_status()
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for line in res.iter_lines():
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if b"content" in line:
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line_json = json.loads(line.decode("utf-8").split("data: ")[1])
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yield (line_json["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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("max_tokens", "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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def _encrypt(e: str):
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t = os.urandom(8).hex().encode("utf-8")
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n = os.urandom(8).hex().encode("utf-8")
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r = e.encode("utf-8")
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cipher = AES.new(t, AES.MODE_CBC, n)
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ciphertext = cipher.encrypt(_pad_data(r))
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return ciphertext.hex() + t.decode("utf-8") + n.decode("utf-8")
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def _pad_data(data: bytes) -> bytes:
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block_size = AES.block_size
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padding_size = block_size - len(data) % block_size
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padding = bytes([padding_size] * padding_size)
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return data + padding
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