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37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
from __future__ import annotations
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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 AiService(BaseProvider):
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url = "https://aiservice.vercel.app/"
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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,
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**kwargs: Any,
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) -> 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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"accept": "*/*",
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"content-type": "text/plain;charset=UTF-8",
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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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"Referer": "https://aiservice.vercel.app/chat",
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}
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data = {"input": base}
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url = "https://aiservice.vercel.app/api/chat/answer"
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response = requests.post(url, headers=headers, json=data)
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response.raise_for_status()
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yield response.json()["data"]
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