mirror of
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98 lines
3.6 KiB
Python
98 lines
3.6 KiB
Python
from __future__ import annotations
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from aiohttp import ClientSession
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import json
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from ..typing import AsyncResult, Messages, ImageType
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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class DeepInfraChat(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://deepinfra.com/chat"
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api_endpoint = "https://api.deepinfra.com/v1/openai/chat/completions"
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working = True
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supports_stream = True
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supports_system_message = True
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supports_message_history = True
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default_model = 'meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo'
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models = [
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'meta-llama/Meta-Llama-3.1-8B-Instruct',
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default_model,
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'microsoft/WizardLM-2-8x22B',
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'Qwen/Qwen2.5-72B-Instruct',
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]
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model_aliases = {
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"llama-3.1-8b": "meta-llama/Meta-Llama-3.1-8B-Instruct",
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"llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
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"wizardlm-2-8x22b": "microsoft/WizardLM-2-8x22B",
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"qwen-2-72b": "Qwen/Qwen2.5-72B-Instruct",
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}
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@classmethod
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def get_model(cls, model: str) -> str:
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if model in cls.models:
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return model
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elif model in cls.model_aliases:
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return cls.model_aliases[model]
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else:
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return cls.default_model
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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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proxy: str = None,
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image: ImageType = None,
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image_name: str = None,
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**kwargs
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) -> AsyncResult:
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model = cls.get_model(model)
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headers = {
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'Accept-Language': 'en-US,en;q=0.9',
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'Cache-Control': 'no-cache',
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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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'Pragma': 'no-cache',
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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 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 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': '"Not;A=Brand";v="24", "Chromium";v="128"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"Linux"',
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}
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async with ClientSession(headers=headers) as session:
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data = {
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'model': model,
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'messages': messages,
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'stream': True
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}
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async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
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response.raise_for_status()
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async for line in response.content:
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if line:
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decoded_line = line.decode('utf-8').strip()
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if decoded_line.startswith('data:'):
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json_part = decoded_line[5:].strip()
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if json_part == '[DONE]':
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break
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try:
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data = json.loads(json_part)
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choices = data.get('choices', [])
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if choices:
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delta = choices[0].get('delta', {})
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content = delta.get('content', '')
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if content:
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yield content
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except json.JSONDecodeError:
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print(f"JSON decode error: {json_part}")
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