mirror of
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62 lines
2.3 KiB
Python
62 lines
2.3 KiB
Python
from __future__ import annotations
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import requests, json
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from ..typing import CreateResult, Messages
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from .base_provider import BaseProvider
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class DeepInfra(BaseProvider):
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url: str = "https://deepinfra.com"
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working: bool = True
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supports_stream: bool = True
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supports_message_history: bool = True
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@staticmethod
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def create_completion(model: str,
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messages: Messages,
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stream: bool,
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**kwargs) -> CreateResult:
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headers = {
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'Accept-Language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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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 (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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json_data = json.dumps({
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'model' : 'meta-llama/Llama-2-70b-chat-hf',
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'messages': messages,
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'stream' : True}, separators=(',', ':'))
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response = requests.post('https://api.deepinfra.com/v1/openai/chat/completions',
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headers=headers, data=json_data, stream=True)
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response.raise_for_status()
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first = True
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for line in response.iter_content(chunk_size=1024):
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if line.startswith(b"data: [DONE]"):
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break
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elif line.startswith(b"data: "):
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chunk = json.loads(line[6:])["choices"][0]["delta"].get("content")
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if chunk:
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if first:
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chunk = chunk.lstrip()
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if chunk:
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first = False
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yield (chunk) |