mirror of https://github.com/xtekky/gpt4free
You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
144 lines
5.3 KiB
Python
144 lines
5.3 KiB
Python
from __future__ import annotations
|
|
|
|
import json, requests, re
|
|
|
|
from curl_cffi import requests as cf_reqs
|
|
from ..typing import CreateResult, Messages
|
|
from .base_provider import ProviderModelMixin, AbstractProvider
|
|
from .helper import format_prompt
|
|
|
|
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',
|
|
'mistralai/Mixtral-8x7B-Instruct-v0.1',
|
|
'google/gemma-1.1-7b-it',
|
|
'NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO',
|
|
'mistralai/Mistral-7B-Instruct-v0.2',
|
|
'meta-llama/Meta-Llama-3-70B-Instruct',
|
|
'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 create_completion(
|
|
cls,
|
|
model: str,
|
|
messages: Messages,
|
|
stream: bool,
|
|
**kwargs
|
|
) -> 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',
|
|
}
|
|
|
|
json_data = {
|
|
'searchEnabled' : True,
|
|
'activeModel' : 'CohereForAI/c4ai-command-r-plus', # doesn't matter
|
|
'hideEmojiOnSidebar': False,
|
|
'customPrompts' : {},
|
|
'assistants' : [],
|
|
'tools' : {},
|
|
'disableStream' : False,
|
|
'recentlySaved' : False,
|
|
'ethicsModalAccepted' : True,
|
|
'ethicsModalAcceptedAt' : None,
|
|
'shareConversationsWithModelAuthors': 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,
|
|
|
|
# TODO // add feature to enable/disable 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
|
|
|
|
else:
|
|
token = token.replace('\u0000', '')
|
|
|
|
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
|