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72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
from __future__ import annotations
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import json, uuid
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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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from .helper import format_prompt, get_cookies
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map = {
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"openchat/openchat_3.5": "openchat/openchat-3.5-1210",
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}
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class HuggingChat(AsyncGeneratorProvider):
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url = "https://huggingface.co/chat"
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working = True
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model = "meta-llama/Llama-2-70b-chat-hf"
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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 = True,
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proxy: str = None,
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web_search: bool = False,
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cookies: dict = None,
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**kwargs
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) -> AsyncResult:
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if not model:
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model = cls.model
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elif model in map:
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model = map[model]
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if not cookies:
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cookies = get_cookies(".huggingface.co")
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headers = {
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
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}
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async with ClientSession(
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cookies=cookies,
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headers=headers
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) as session:
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async with session.post(f"{cls.url}/conversation", json={"model": model}, proxy=proxy) as response:
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conversation_id = (await response.json())["conversationId"]
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send = {
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"id": str(uuid.uuid4()),
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"inputs": format_prompt(messages),
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"is_retry": False,
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"response_id": str(uuid.uuid4()),
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"web_search": web_search
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}
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async with session.post(f"{cls.url}/conversation/{conversation_id}", json=send, proxy=proxy) as response:
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first_token = True
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async for line in response.content:
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line = json.loads(line[:-1])
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if "type" not in line:
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raise RuntimeError(f"Response: {line}")
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elif line["type"] == "stream":
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token = line["token"]
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if first_token:
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token = token.lstrip()
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first_token = False
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yield token
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elif line["type"] == "finalAnswer":
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break
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async with session.delete(f"{cls.url}/conversation/{conversation_id}", proxy=proxy) as response:
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response.raise_for_status()
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