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unpatch HuggingChat
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parent
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commit
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@ -1,20 +1,17 @@
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from __future__ import annotations
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import json
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import requests
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from aiohttp import ClientSession, BaseConnector
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import json, requests, re
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from ..typing import AsyncResult, Messages
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from ..requests.raise_for_status import raise_for_status
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from ..providers.conversation import BaseConversation
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from .helper import format_prompt, get_connector, get_cookies
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from curl_cffi import requests as cf_reqs
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from ..typing import CreateResult, Messages
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from .base_provider import ProviderModelMixin, AbstractProvider
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from .helper import format_prompt, get_connector, get_cookies
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class HuggingChat(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://huggingface.co/chat"
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working = True
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needs_auth = True
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default_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
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class HuggingChat(AbstractProvider, ProviderModelMixin):
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url = "https://huggingface.co/chat"
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working = True
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supports_stream = True
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default_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
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models = [
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"HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1",
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'CohereForAI/c4ai-command-r-plus',
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@ -26,92 +23,118 @@ class HuggingChat(AsyncGeneratorProvider, ProviderModelMixin):
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'microsoft/Phi-3-mini-4k-instruct',
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'01-ai/Yi-1.5-34B-Chat'
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]
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model_aliases = {
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"mistralai/Mistral-7B-Instruct-v0.1": "mistralai/Mistral-7B-Instruct-v0.2"
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}
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@classmethod
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def get_models(cls):
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if not cls.models:
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url = f"{cls.url}/__data.json"
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data = requests.get(url).json()["nodes"][0]["data"]
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models = [data[key]["name"] for key in data[data[0]["models"]]]
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cls.models = [data[key] for key in models]
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return cls.models
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@classmethod
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async def create_async_generator(
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def create_completion(
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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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connector: BaseConnector = None,
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web_search: bool = False,
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cookies: dict = None,
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conversation: Conversation = None,
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return_conversation: bool = False,
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delete_conversation: bool = True,
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stream: bool,
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**kwargs
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) -> AsyncResult:
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options = {"model": cls.get_model(model)}
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if cookies is None:
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cookies = get_cookies("huggingface.co", False)
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if return_conversation:
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delete_conversation = False
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) -> CreateResult:
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system_prompt = "\n".join([message["content"] for message in messages if message["role"] == "system"])
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if system_prompt:
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options["preprompt"] = system_prompt
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messages = [message for message in messages if message["role"] != "system"]
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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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connector=get_connector(connector, proxy)
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) as session:
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if conversation is None:
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async with session.post(f"{cls.url}/conversation", json=options) as response:
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await raise_for_status(response)
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conversation_id = (await response.json())["conversationId"]
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if return_conversation:
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yield Conversation(conversation_id)
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else:
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conversation_id = conversation.conversation_id
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async with session.get(f"{cls.url}/conversation/{conversation_id}/__data.json") as response:
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await raise_for_status(response)
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data: list = (await response.json())["nodes"][1]["data"]
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keys: list[int] = data[data[0]["messages"]]
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message_keys: dict = data[keys[0]]
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message_id: str = data[message_keys["id"]]
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options = {
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"id": message_id,
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"inputs": format_prompt(messages) if conversation is None else messages[-1]["content"],
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"is_continue": False,
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"is_retry": False,
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"web_search": web_search
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if (model in cls.models) :
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session = requests.Session()
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headers = {
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'accept': '*/*',
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'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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'cache-control': 'no-cache',
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'origin': 'https://huggingface.co',
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'pragma': 'no-cache',
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'priority': 'u=1, i',
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'referer': 'https://huggingface.co/chat/',
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'sec-ch-ua': '"Not/A)Brand";v="8", "Chromium";v="126", "Google Chrome";v="126"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36',
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}
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async with session.post(f"{cls.url}/conversation/{conversation_id}", json=options) as response:
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first_token = True
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async for line in response.content:
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await raise_for_status(response)
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line = json.loads(line)
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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().replace('\u0000', '')
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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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if delete_conversation:
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async with session.delete(f"{cls.url}/conversation/{conversation_id}") as response:
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await raise_for_status(response)
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class Conversation(BaseConversation):
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def __init__(self, conversation_id: str) -> None:
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self.conversation_id = conversation_id
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json_data = {
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'searchEnabled': True,
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'ethicsModalAccepted': True,
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'ethicsModalAcceptedAt': None,
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'activeModel': 'CohereForAI/c4ai-command-r-plus', # doesn't matter
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'hideEmojiOnSidebar': False,
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'shareConversationsWithModelAuthors': False,
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'customPrompts': {},
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'assistants': [],
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'tools': {},
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'disableStream': False,
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'recentlySaved': False,
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}
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response = cf_reqs.post('https://huggingface.co/chat/settings', headers=headers, json=json_data)
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session.cookies.update(response.cookies)
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response = session.post('https://huggingface.co/chat/conversation',
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headers=headers, json={'model': model})
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conversationId = response.json()['conversationId']
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response = session.get(f'https://huggingface.co/chat/conversation/{conversationId}/__data.json?x-sveltekit-invalidated=11',
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headers=headers,
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)
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messageId = extract_id(response.json())
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settings = {
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"inputs": format_prompt(messages),
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"id": messageId,
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"is_retry": False,
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"is_continue": False,
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"web_search": False,
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# enable tools
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"tools": {
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"websearch": True,
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"document_parser": False,
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"query_calculator": False,
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"image_generation": False,
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"image_editing": False,
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"fetch_url": False,
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}
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}
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payload = {
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"data": json.dumps(settings),
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}
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response = session.post(f"https://huggingface.co/chat/conversation/{conversationId}",
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headers=headers, data=payload, stream=True,
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)
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first_token = True
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for line in response.iter_lines():
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line = json.loads(line)
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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().replace('\u0000', '')
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first_token = False
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#yield token
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yield (token)
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elif line["type"] == "finalAnswer":
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break
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def extract_id(response: dict) -> str:
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data = response["nodes"][1]["data"]
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uuid_pattern = re.compile(
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r"^[\da-f]{8}-[\da-f]{4}-[\da-f]{4}-[\da-f]{4}-[\da-f]{12}$"
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)
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for item in data:
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if type(item) == str and uuid_pattern.match(item):
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return item
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return None
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