| 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 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", 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"{cls.url}/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 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"{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})" |
|
|
