gpt4free/g4f/Provider/needs_auth/HuggingChat.py
2023-10-04 07:20:51 +02:00

75 lines
2.5 KiB
Python

from __future__ import annotations
import json, uuid
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 = "meta-llama/Llama-2-70b-chat-hf"
@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 proxy and "://" not in proxy:
proxy = f"http://{proxy}"
if not cookies:
cookies = get_cookies(".huggingface.co")
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(f"{cls.url}/conversation", json={"model": model}, proxy=proxy) as response:
conversation_id = (await response.json())["conversationId"]
send = {
"id": str(uuid.uuid4()),
"inputs": format_prompt(messages),
"is_retry": False,
"response_id": str(uuid.uuid4()),
"web_search": False
}
async with session.post(f"{cls.url}/conversation/{conversation_id}", json=send, proxy=proxy) as response:
async for line in response.content:
line = json.loads(line[:-1])
if "type" not in line:
raise RuntimeError(f"Response: {line}")
elif line["type"] == "stream":
yield line["token"]
elif line["type"] == "finalAnswer":
break
async with session.delete(f"{cls.url}/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})"