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