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ae9702ecf0
~ | Following PEP8, use `.join()` to process `messages`
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
from __future__ import annotations
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import json
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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 AItianhu(BaseProvider):
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url = "https://www.aitianhu.com/"
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working = False
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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, **kwargs: Any) -> CreateResult:
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base = "\n".join(f"{message['role']}: {message['content']}" for message in messages)
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base += "\nassistant: "
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headers = {
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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: dict[str, Any] = {
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"prompt": base,
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"options": {},
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"systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
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"temperature": kwargs.get("temperature", 0.8),
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"top_p": kwargs.get("top_p", 1),
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}
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url = "https://www.aitianhu.com/api/chat-process"
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response = requests.post(url, headers=headers, json=data)
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response.raise_for_status()
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lines = response.text.strip().split("\n")
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res = json.loads(lines[-1])
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yield res["text"]
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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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("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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