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-rw-r--r--g4f/Provider/HuggingChat.py201
1 files changed, 112 insertions, 89 deletions
diff --git a/g4f/Provider/HuggingChat.py b/g4f/Provider/HuggingChat.py
index cf2a89da..cb8405ae 100644
--- a/g4f/Provider/HuggingChat.py
+++ b/g4f/Provider/HuggingChat.py
@@ -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
+ ) -> 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',
+ }
- 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,
+ 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,
- "web_search": web_search
+ "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),
}
- 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
+ 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