mirror of https://github.com/xtekky/gpt4free
Add Llama2 Providers / Models
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from __future__ import annotations
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import json
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from aiohttp import ClientSession
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider
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class DeepInfra(AsyncGeneratorProvider):
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url = "https://deepinfra.com"
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working = True
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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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**kwargs
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) -> AsyncResult:
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if not model:
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model = "meta-llama/Llama-2-70b-chat-hf"
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headers = {
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"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/118.0",
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"Accept": "text/event-stream",
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"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
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"Accept-Encoding": "gzip, deflate, br",
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"Referer": f"{cls.url}/",
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"Content-Type": "application/json",
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"X-Deepinfra-Source": "web-page",
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"Origin": cls.url,
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"Connection": "keep-alive",
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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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"Pragma": "no-cache",
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"Cache-Control": "no-cache",
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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(
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"https://api.deepinfra.com/v1/openai/chat/completions",
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json=data,
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proxy=proxy
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) 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.content:
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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
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