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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 AItianhu2(BaseProvider): |
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url = "https://0vbix.aitianhu.site/api/chat-proces" |
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working = True |
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supports_gpt_4 = 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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base = "" |
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for message in messages: |
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base += "%s: %s\n" % (message["role"], message["content"]) |
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base += "assistant:" |
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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://0vbix.aitianhu.site/api/chat-proces" |
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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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