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59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
from __future__ import annotations
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import requests
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from ..typing import AsyncResult, Messages
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from .needs_auth.Openai import Openai
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class DeepInfra(Openai):
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url = "https://deepinfra.com"
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working = True
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needs_auth = False
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supports_stream = True
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supports_message_history = True
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default_model = 'meta-llama/Llama-2-70b-chat-hf'
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@classmethod
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def get_models(cls):
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if not cls.models:
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url = 'https://api.deepinfra.com/models/featured'
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models = requests.get(url).json()
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cls.models = [model['model_name'] for model in models if model["type"] == "text-generation"]
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return cls.models
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@classmethod
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def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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stream: bool,
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api_base: str = "https://api.deepinfra.com/v1/openai",
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temperature: float = 0.7,
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max_tokens: int = 1028,
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**kwargs
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) -> AsyncResult:
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headers = {
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'Accept-Encoding': 'gzip, deflate, br',
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'Accept-Language': 'en-US',
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'Connection': 'keep-alive',
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'Content-Type': None,
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'Origin': 'https://deepinfra.com',
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'Referer': 'https://deepinfra.com/',
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'Sec-Fetch-Dest': 'empty',
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'Sec-Fetch-Mode': 'cors',
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'Sec-Fetch-Site': 'same-site',
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
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'X-Deepinfra-Source': 'web-embed',
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'Accept': None,
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'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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}
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return super().create_async_generator(
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model, messages,
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stream=stream,
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api_base=api_base,
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temperature=temperature,
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max_tokens=max_tokens,
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headers=headers,
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**kwargs
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) |