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authorHeiner Lohaus <heiner@lohaus.eu>2023-09-23 11:42:30 +0200
committerHeiner Lohaus <heiner@lohaus.eu>2023-09-23 11:42:30 +0200
commita3ecabb00e728d2ed63ce613d6f5b5902780d45c (patch)
treedc5c440177fe9d31779bd0f53a8925eed9f6d79d /g4f
parent ~ | update models list (diff)
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Diffstat (limited to 'g4f')
-rw-r--r--g4f/Provider/HuggingChat.py2
-rw-r--r--g4f/Provider/Vercel.py102
-rw-r--r--g4f/Provider/base_provider.py3
-rw-r--r--g4f/__init__.py2
4 files changed, 63 insertions, 46 deletions
diff --git a/g4f/Provider/HuggingChat.py b/g4f/Provider/HuggingChat.py
index 7702c9dd..b2cf9793 100644
--- a/g4f/Provider/HuggingChat.py
+++ b/g4f/Provider/HuggingChat.py
@@ -9,7 +9,7 @@ from .base_provider import AsyncGeneratorProvider, format_prompt, get_cookies
class HuggingChat(AsyncGeneratorProvider):
- url = "https://huggingface.co/chat/"
+ url = "https://huggingface.co/chat"
needs_auth = True
working = True
model = "OpenAssistant/oasst-sft-6-llama-30b-xor"
diff --git a/g4f/Provider/Vercel.py b/g4f/Provider/Vercel.py
index b3241b70..a0bca0ce 100644
--- a/g4f/Provider/Vercel.py
+++ b/g4f/Provider/Vercel.py
@@ -1,65 +1,82 @@
from __future__ import annotations
import json, base64, requests, execjs, random, uuid
+from aiohttp import ClientSession
-from ..typing import Any, TypedDict, CreateResult
-from .base_provider import BaseProvider
-from abc import abstractmethod
+from ..typing import Any, TypedDict, AsyncGenerator
+from .base_provider import AsyncGeneratorProvider
-class Vercel(BaseProvider):
+class Vercel(AsyncGeneratorProvider):
url = 'https://sdk.vercel.ai'
working = True
supports_gpt_35_turbo = True
supports_stream = True
+ _anti_bot_token = None
- @staticmethod
- @abstractmethod
- def create_completion(
+ @classmethod
+ async def create_async_generator(
+ cls,
model: str,
messages: list[dict[str, str]],
- stream: bool, **kwargs ) -> CreateResult:
+ stream: bool,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncGenerator:
+ if not model:
+ model = "gpt-3.5-turbo"
+ elif model not in model_info:
+ raise ValueError(f"Model are not supported: {model}")
- headers = {
- 'authority' : 'sdk.vercel.ai',
- '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',
- 'content-type' : 'application/json',
- 'custom-encoding' : AntiBotToken(),
- 'origin' : 'https://sdk.vercel.ai',
- 'pragma' : 'no-cache',
- 'referer' : 'https://sdk.vercel.ai/',
- 'sec-ch-ua' : '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
- '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/117.0.%s.%s Safari/537.36' % (
- random.randint(99, 999),
- random.randint(99, 999)
- )
- }
+ if not cls._anti_bot_token:
+ cls._anti_bot_token = get_anti_bot_token(proxy)
json_data = {
'model' : model_info[model]['id'],
'messages' : messages,
'playgroundId': str(uuid.uuid4()),
- 'chatIndex' : 0} | model_info[model]['default_params']
+ 'chatIndex' : 0
+ } | model_info[model]['default_params']
+ for tries in range(100):
+ headers = {
+ 'authority' : 'sdk.vercel.ai',
+ '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',
+ 'content-type' : 'application/json',
+ 'custom-encoding' : cls._anti_bot_token,
+ 'origin' : 'https://sdk.vercel.ai',
+ 'pragma' : 'no-cache',
+ 'referer' : 'https://sdk.vercel.ai/',
+ 'sec-ch-ua' : '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
+ '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/117.0.%s.%s Safari/537.36' % (
+ random.randint(99, 999),
+ random.randint(99, 999)
+ )
+ }
+ async with ClientSession(
+ headers=headers
+ ) as session:
+ async with session.post(f"{cls.url}/api/generate", proxy=proxy, json=json_data) as response:
+ try:
+ response.raise_for_status()
+ except Exception as e:
+ if tries >= 99:
+ raise e
+ # Maybe the token is the reason for failing
+ cls._anti_bot_token = get_anti_bot_token(proxy)
+ continue
+ async for token in response.content.iter_any():
+ yield token.decode()
+ break
- server_error = True
- while server_error:
- response = requests.post('https://sdk.vercel.ai/api/generate',
- headers=headers, json=json_data, stream=True)
-
- for token in response.iter_content(chunk_size=2046):
- if token != b'Internal Server Error':
- server_error = False
- yield (token.decode())
-
-def AntiBotToken() -> str:
+def get_anti_bot_token(proxy: str = None) -> str:
headers = {
'authority' : 'sdk.vercel.ai',
'accept' : '*/*',
@@ -79,8 +96,9 @@ def AntiBotToken() -> str:
)
}
+ # Does not work with async requests
response = requests.get('https://sdk.vercel.ai/openai.jpeg',
- headers=headers).text
+ headers=headers, proxies={"https": proxy}).text
raw_data = json.loads(base64.b64decode(response,
validate=True))
diff --git a/g4f/Provider/base_provider.py b/g4f/Provider/base_provider.py
index 0cceb220..ea81502f 100644
--- a/g4f/Provider/base_provider.py
+++ b/g4f/Provider/base_provider.py
@@ -6,7 +6,7 @@ from abc import ABC, abstractmethod
import browser_cookie3
-from ..typing import Any, AsyncGenerator, CreateResult
+from ..typing import AsyncGenerator, CreateResult
class BaseProvider(ABC):
@@ -25,7 +25,6 @@ class BaseProvider(ABC):
stream: bool,
**kwargs
) -> CreateResult:
-
raise NotImplementedError()
diff --git a/g4f/__init__.py b/g4f/__init__.py
index 8fdfe21f..f3a887f6 100644
--- a/g4f/__init__.py
+++ b/g4f/__init__.py
@@ -64,7 +64,7 @@ class ChatCompletion:
model, provider = get_model_and_provider(model, provider, False)
- if not issubclass(type(provider), AsyncProvider):
+ if not issubclass(provider, AsyncProvider) and not issubclass(type(provider), AsyncProvider):
raise Exception(f"Provider: {provider.__name__} doesn't support create_async")
return await provider.create_async(model.name, messages, **kwargs)