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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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