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105 lines
3.8 KiB
Python
105 lines
3.8 KiB
Python
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 AsyncGenerator
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from .base_provider import AsyncGeneratorProvider, format_prompt, get_cookies
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class HuggingChat(AsyncGeneratorProvider):
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url = "https://huggingface.co/chat/"
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needs_auth = True
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working = True
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model = "OpenAssistant/oasst-sft-6-llama-30b-xor"
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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: list[dict[str, str]],
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stream: bool = True,
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proxy: str = None,
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cookies: dict = None,
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**kwargs
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) -> AsyncGenerator:
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model = model if model else cls.model
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if proxy and "://" not in proxy:
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proxy = f"http://{proxy}"
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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", proxy=proxy, json={"model": model}) as response:
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conversation_id = (await response.json())["conversationId"]
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send = {
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"inputs": format_prompt(messages),
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"parameters": {
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"temperature": 0.2,
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"truncate": 1000,
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"max_new_tokens": 1024,
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"stop": ["</s>"],
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"top_p": 0.95,
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"repetition_penalty": 1.2,
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"top_k": 50,
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"return_full_text": False,
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**kwargs
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},
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"stream": stream,
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"options": {
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"id": "9e9b8bc4-6604-40c6-994e-8eb78fa32e37",
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"response_id": "04ce2602-3bea-45e8-8efc-cef00680376a",
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"is_retry": False,
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"use_cache": False,
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"web_search_id": ""
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}
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}
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async with session.post(f"{cls.url}/conversation/{conversation_id}", proxy=proxy, json=send) as response:
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if not stream:
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data = await response.json()
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if "error" in data:
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raise RuntimeError(data["error"])
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elif isinstance(data, list):
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yield data[0]["generated_text"].strip()
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else:
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raise RuntimeError(f"Response: {data}")
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else:
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start = "data:"
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first = True
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async for line in response.content:
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line = line.decode("utf-8")
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if line.startswith(start):
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line = json.loads(line[len(start):-1])
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if "token" not in line:
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raise RuntimeError(f"Response: {line}")
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if not line["token"]["special"]:
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if first:
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yield line["token"]["text"].lstrip()
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first = False
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else:
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yield line["token"]["text"]
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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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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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("proxy", "str"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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