mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-24 11:34:02 +03:00
unpatch HuggingChat
This commit is contained in:
abc
parent
9e728ced0f
commit
ac0bd092c0
@ -1,20 +1,17 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import requests
|
||||
from aiohttp import ClientSession, BaseConnector
|
||||
import json, requests, re
|
||||
|
||||
from ..typing import AsyncResult, Messages
|
||||
from ..requests.raise_for_status import raise_for_status
|
||||
from ..providers.conversation import BaseConversation
|
||||
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
|
||||
from .helper import format_prompt, get_connector, get_cookies
|
||||
from curl_cffi import requests as cf_reqs
|
||||
from ..typing import CreateResult, Messages
|
||||
from .base_provider import ProviderModelMixin, AbstractProvider
|
||||
from .helper import format_prompt, get_connector, get_cookies
|
||||
|
||||
class HuggingChat(AsyncGeneratorProvider, ProviderModelMixin):
|
||||
url = "https://huggingface.co/chat"
|
||||
working = True
|
||||
needs_auth = True
|
||||
default_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
|
||||
class HuggingChat(AbstractProvider, ProviderModelMixin):
|
||||
url = "https://huggingface.co/chat"
|
||||
working = True
|
||||
supports_stream = True
|
||||
default_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
|
||||
models = [
|
||||
"HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1",
|
||||
'CohereForAI/c4ai-command-r-plus',
|
||||
@ -26,92 +23,118 @@ class HuggingChat(AsyncGeneratorProvider, ProviderModelMixin):
|
||||
'microsoft/Phi-3-mini-4k-instruct',
|
||||
'01-ai/Yi-1.5-34B-Chat'
|
||||
]
|
||||
|
||||
model_aliases = {
|
||||
"mistralai/Mistral-7B-Instruct-v0.1": "mistralai/Mistral-7B-Instruct-v0.2"
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def get_models(cls):
|
||||
if not cls.models:
|
||||
url = f"{cls.url}/__data.json"
|
||||
data = requests.get(url).json()["nodes"][0]["data"]
|
||||
models = [data[key]["name"] for key in data[data[0]["models"]]]
|
||||
cls.models = [data[key] for key in models]
|
||||
return cls.models
|
||||
|
||||
@classmethod
|
||||
async def create_async_generator(
|
||||
def create_completion(
|
||||
cls,
|
||||
model: str,
|
||||
messages: Messages,
|
||||
stream: bool = True,
|
||||
proxy: str = None,
|
||||
connector: BaseConnector = None,
|
||||
web_search: bool = False,
|
||||
cookies: dict = None,
|
||||
conversation: Conversation = None,
|
||||
return_conversation: bool = False,
|
||||
delete_conversation: bool = True,
|
||||
stream: bool,
|
||||
**kwargs
|
||||
) -> AsyncResult:
|
||||
options = {"model": cls.get_model(model)}
|
||||
if cookies is None:
|
||||
cookies = get_cookies("huggingface.co", False)
|
||||
if return_conversation:
|
||||
delete_conversation = False
|
||||
|
||||
system_prompt = "\n".join([message["content"] for message in messages if message["role"] == "system"])
|
||||
if system_prompt:
|
||||
options["preprompt"] = system_prompt
|
||||
messages = [message for message in messages if message["role"] != "system"]
|
||||
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,
|
||||
connector=get_connector(connector, proxy)
|
||||
) as session:
|
||||
if conversation is None:
|
||||
async with session.post(f"{cls.url}/conversation", json=options) as response:
|
||||
await raise_for_status(response)
|
||||
conversation_id = (await response.json())["conversationId"]
|
||||
if return_conversation:
|
||||
yield Conversation(conversation_id)
|
||||
else:
|
||||
conversation_id = conversation.conversation_id
|
||||
async with session.get(f"{cls.url}/conversation/{conversation_id}/__data.json") as response:
|
||||
await raise_for_status(response)
|
||||
data: list = (await response.json())["nodes"][1]["data"]
|
||||
keys: list[int] = data[data[0]["messages"]]
|
||||
message_keys: dict = data[keys[0]]
|
||||
message_id: str = data[message_keys["id"]]
|
||||
options = {
|
||||
"id": message_id,
|
||||
"inputs": format_prompt(messages) if conversation is None else messages[-1]["content"],
|
||||
"is_continue": False,
|
||||
"is_retry": False,
|
||||
"web_search": web_search
|
||||
) -> CreateResult:
|
||||
|
||||
if (model in cls.models) :
|
||||
|
||||
session = requests.Session()
|
||||
headers = {
|
||||
'accept': '*/*',
|
||||
'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',
|
||||
'cache-control': 'no-cache',
|
||||
'origin': 'https://huggingface.co',
|
||||
'pragma': 'no-cache',
|
||||
'priority': 'u=1, i',
|
||||
'referer': 'https://huggingface.co/chat/',
|
||||
'sec-ch-ua': '"Not/A)Brand";v="8", "Chromium";v="126", "Google Chrome";v="126"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-platform': '"macOS"',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'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',
|
||||
}
|
||||
async with session.post(f"{cls.url}/conversation/{conversation_id}", json=options) as response:
|
||||
first_token = True
|
||||
async for line in response.content:
|
||||
await raise_for_status(response)
|
||||
line = json.loads(line)
|
||||
if "type" not in line:
|
||||
raise RuntimeError(f"Response: {line}")
|
||||
elif line["type"] == "stream":
|
||||
token = line["token"]
|
||||
if first_token:
|
||||
token = token.lstrip().replace('\u0000', '')
|
||||
first_token = False
|
||||
yield token
|
||||
elif line["type"] == "finalAnswer":
|
||||
break
|
||||
if delete_conversation:
|
||||
async with session.delete(f"{cls.url}/conversation/{conversation_id}") as response:
|
||||
await raise_for_status(response)
|
||||
|
||||
class Conversation(BaseConversation):
|
||||
def __init__(self, conversation_id: str) -> None:
|
||||
self.conversation_id = conversation_id
|
||||
json_data = {
|
||||
'searchEnabled': True,
|
||||
'ethicsModalAccepted': True,
|
||||
'ethicsModalAcceptedAt': None,
|
||||
'activeModel': 'CohereForAI/c4ai-command-r-plus', # doesn't matter
|
||||
'hideEmojiOnSidebar': False,
|
||||
'shareConversationsWithModelAuthors': False,
|
||||
'customPrompts': {},
|
||||
'assistants': [],
|
||||
'tools': {},
|
||||
'disableStream': False,
|
||||
'recentlySaved': False,
|
||||
}
|
||||
|
||||
response = cf_reqs.post('https://huggingface.co/chat/settings', headers=headers, json=json_data)
|
||||
session.cookies.update(response.cookies)
|
||||
|
||||
response = session.post('https://huggingface.co/chat/conversation',
|
||||
headers=headers, json={'model': model})
|
||||
|
||||
conversationId = response.json()['conversationId']
|
||||
response = session.get(f'https://huggingface.co/chat/conversation/{conversationId}/__data.json?x-sveltekit-invalidated=11',
|
||||
headers=headers,
|
||||
)
|
||||
|
||||
messageId = extract_id(response.json())
|
||||
|
||||
settings = {
|
||||
"inputs": format_prompt(messages),
|
||||
"id": messageId,
|
||||
"is_retry": False,
|
||||
"is_continue": False,
|
||||
"web_search": False,
|
||||
|
||||
# enable tools
|
||||
"tools": {
|
||||
"websearch": True,
|
||||
"document_parser": False,
|
||||
"query_calculator": False,
|
||||
"image_generation": False,
|
||||
"image_editing": False,
|
||||
"fetch_url": False,
|
||||
}
|
||||
}
|
||||
|
||||
payload = {
|
||||
"data": json.dumps(settings),
|
||||
}
|
||||
|
||||
response = session.post(f"https://huggingface.co/chat/conversation/{conversationId}",
|
||||
headers=headers, data=payload, stream=True,
|
||||
)
|
||||
|
||||
first_token = True
|
||||
for line in response.iter_lines():
|
||||
line = json.loads(line)
|
||||
|
||||
if "type" not in line:
|
||||
raise RuntimeError(f"Response: {line}")
|
||||
|
||||
elif line["type"] == "stream":
|
||||
token = line["token"]
|
||||
if first_token:
|
||||
token = token.lstrip().replace('\u0000', '')
|
||||
first_token = False
|
||||
#yield token
|
||||
yield (token)
|
||||
|
||||
elif line["type"] == "finalAnswer":
|
||||
break
|
||||
|
||||
def extract_id(response: dict) -> str:
|
||||
data = response["nodes"][1]["data"]
|
||||
uuid_pattern = re.compile(
|
||||
r"^[\da-f]{8}-[\da-f]{4}-[\da-f]{4}-[\da-f]{4}-[\da-f]{12}$"
|
||||
)
|
||||
for item in data:
|
||||
if type(item) == str and uuid_pattern.match(item):
|
||||
return item
|
||||
|
||||
return None
|
||||
|
||||
Loading…
Reference in New Issue
Block a user