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61 lines
2.0 KiB
Python
61 lines
2.0 KiB
Python
from __future__ import annotations
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import uuid
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import requests
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from ...typing import Any, CreateResult
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from ..base_provider import AbstractProvider
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class V50(AbstractProvider):
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url = 'https://p5.v50.ltd'
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supports_gpt_35_turbo = True
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supports_stream = False
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needs_auth = False
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working = False
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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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conversation = (
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"\n".join(
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f"{message['role']}: {message['content']}" for message in messages
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)
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+ "\nassistant: "
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)
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payload = {
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"prompt" : conversation,
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"options" : {},
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"systemMessage" : ".",
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"temperature" : kwargs.get("temperature", 0.4),
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"top_p" : kwargs.get("top_p", 0.4),
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"model" : model,
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"user" : str(uuid.uuid4())
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}
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headers = {
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'authority' : 'p5.v50.ltd',
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'accept' : 'application/json, text/plain, */*',
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'accept-language' : 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7',
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'content-type' : 'application/json',
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'origin' : 'https://p5.v50.ltd',
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'referer' : 'https://p5.v50.ltd/',
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'sec-ch-ua-platform': '"Windows"',
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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 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36'
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}
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response = requests.post(
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"https://p5.v50.ltd/api/chat-process",
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json=payload,
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headers=headers,
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proxies=kwargs.get('proxy', {}),
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)
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if "https://fk1.v50.ltd" not in response.text:
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yield response.text |