mirror of
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88 lines
3.3 KiB
Python
88 lines
3.3 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 AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from ..requests import StreamSession
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class DeepInfra(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://deepinfra.com"
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working = True
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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]
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return cls.models
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@classmethod
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async 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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proxy: str = None,
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timeout: int = 120,
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auth: str = None,
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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': 'application/json',
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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': 'text/event-stream',
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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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if auth:
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headers['Authorization'] = f"bearer {auth}"
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async with StreamSession(headers=headers,
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timeout=timeout,
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proxies={"https": proxy},
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impersonate="chrome110"
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) as session:
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json_data = {
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'model' : cls.get_model(model),
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'messages': messages,
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'temperature': kwargs.get("temperature", 0.7),
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'stream' : True
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}
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async with session.post('https://api.deepinfra.com/v1/openai/chat/completions',
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json=json_data) as response:
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response.raise_for_status()
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first = True
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async for line in response.iter_lines():
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if not line.startswith(b"data: "):
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continue
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try:
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json_line = json.loads(line[6:])
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choices = json_line.get("choices", [{}])
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finish_reason = choices[0].get("finish_reason")
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if finish_reason:
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break
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token = choices[0].get("delta", {}).get("content")
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if token:
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if first:
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token = token.lstrip()
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if token:
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first = False
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yield token
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except Exception:
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raise RuntimeError(f"Response: {line}")
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