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https://github.com/xtekky/gpt4free.git
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~| Merge pull request #889 from hlohaus/new
Add CodeLinkAva Provider, Improve test_async.py
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commit
edee7e72c0
62
g4f/Provider/ChatBase.py
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62
g4f/Provider/ChatBase.py
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from __future__ import annotations
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from aiohttp import ClientSession
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from ..typing import AsyncGenerator
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from .base_provider import AsyncGeneratorProvider
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class ChatBase(AsyncGeneratorProvider):
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url = "https://www.chatbase.co"
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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working = True
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: list[dict[str, str]],
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**kwargs
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) -> AsyncGenerator:
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if model == "gpt-4":
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chat_id = "quran---tafseer-saadi-pdf-wbgknt7zn"
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elif model == "gpt-3.5-turbo" or True:
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chat_id = "chatbase--1--pdf-p680fxvnm"
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headers = {
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"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
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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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"Origin" : cls.url,
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"Referer" : cls.url + "/",
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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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}
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async with ClientSession(
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headers=headers
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) as session:
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data = {
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"messages": messages,
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"captchaCode": "hadsa",
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"chatId": chat_id,
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"conversationId": f"kcXpqEnqUie3dnJlsRi_O-{chat_id}"
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}
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async with session.post("https://www.chatbase.co/api/fe/chat", json=data) as response:
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response.raise_for_status()
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async for stream in response.content.iter_any():
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stream = stream.decode()
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if stream:
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yield stream
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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63
g4f/Provider/CodeLinkAva.py
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63
g4f/Provider/CodeLinkAva.py
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@ -0,0 +1,63 @@
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from __future__ import annotations
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from aiohttp import ClientSession
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import json
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from ..typing import AsyncGenerator
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from .base_provider import AsyncGeneratorProvider
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class CodeLinkAva(AsyncGeneratorProvider):
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url = "https://ava-ai-ef611.web.app"
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supports_gpt_35_turbo = True
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working = True
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: list[dict[str, str]],
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**kwargs
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) -> AsyncGenerator:
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headers = {
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"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
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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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"Origin" : cls.url,
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"Referer" : cls.url + "/",
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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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}
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async with ClientSession(
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headers=headers
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) as session:
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data = {
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"messages": messages,
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"temperature": 0.6,
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"stream": True,
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**kwargs
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}
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async with session.post("https://ava-alpha-api.codelink.io/api/chat", json=data) as response:
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response.raise_for_status()
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start = "data: "
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async for line in response.content:
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line = line.decode()
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if line.startswith("data: ") and not line.startswith("data: [DONE]"):
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line = json.loads(line[len(start):-1])
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content = line["choices"][0]["delta"].get("content")
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if content:
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yield content
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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("temperature", "float"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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@ -68,7 +68,7 @@ class HuggingChat(AsyncGeneratorProvider):
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if "error" in data:
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raise RuntimeError(data["error"])
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elif isinstance(data, list):
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yield data[0]["generated_text"]
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yield data[0]["generated_text"].strip()
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else:
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raise RuntimeError(f"Response: {data}")
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else:
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@ -34,7 +34,7 @@ class OpenaiChat(AsyncProvider):
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"https": proxy
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}
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if not access_token:
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access_token = await cls.get_access_token(cookies)
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access_token = await cls.get_access_token(cookies, proxies)
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headers = {
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"Accept": "text/event-stream",
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"Authorization": f"Bearer {access_token}",
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@ -6,8 +6,10 @@ from .AiService import AiService
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from .AItianhu import AItianhu
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from .Bard import Bard
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from .Bing import Bing
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from .ChatBase import ChatBase
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from .ChatgptAi import ChatgptAi
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from .ChatgptLogin import ChatgptLogin
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from .CodeLinkAva import CodeLinkAva
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from .DeepAi import DeepAi
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from .DfeHub import DfeHub
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from .EasyChat import EasyChat
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@ -42,8 +44,10 @@ __all__ = [
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'AItianhu',
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'Bard',
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'Bing',
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'ChatBase',
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'ChatgptAi',
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'ChatgptLogin',
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'CodeLinkAva',
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'DeepAi',
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'DfeHub',
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'EasyChat',
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@ -7,31 +7,29 @@ sys.path.append(str(Path(__file__).parent.parent))
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import g4f
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from g4f.Provider import AsyncProvider
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from testing.test_providers import get_providers
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from testing.log_time import log_time_async
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from testing.log_time import log_time_async
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async def create_async(provider: AsyncProvider):
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async def create_async(provider):
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model = g4f.models.gpt_35_turbo.name if provider.supports_gpt_35_turbo else g4f.models.default.name
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try:
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response = await log_time_async(
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response = await log_time_async(
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provider.create_async,
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model=model,
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messages=[{"role": "user", "content": "Hello Assistant!"}]
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)
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assert type(response) is str
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assert len(response) > 0
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return response
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print(f"{provider.__name__}:", response)
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except Exception as e:
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return e
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return f"{provider.__name__}: {e.__class__.__name__}: {e}"
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async def run_async():
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_providers: list[AsyncProvider] = [
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_provider
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responses: list = [
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create_async(_provider)
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for _provider in get_providers()
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if _provider.working and hasattr(_provider, "create_async")
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if _provider.working and issubclass(_provider, AsyncProvider)
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]
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responses = [create_async(_provider) for _provider in _providers]
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responses = await asyncio.gather(*responses)
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for idx, provider in enumerate(_providers):
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print(f"{provider.__name__}:", responses[idx])
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for error in responses:
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if error:
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print(error)
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print("Total:", asyncio.run(log_time_async(run_async)))
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