Add ChatBase Provider

g4f/Provider/ChatBase.py

@@ -0,0 +1,62 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+
+from ..typing       import AsyncGenerator
+from .base_provider import AsyncGeneratorProvider
+
+
+class ChatBase(AsyncGeneratorProvider):
+    url                   = "https://www.chatbase.co"
+    supports_gpt_35_turbo = True
+    supports_gpt_4        = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: list[dict[str, str]],
+        **kwargs
+    ) -> AsyncGenerator:
+        if model == "gpt-4":
+            chat_id = "quran---tafseer-saadi-pdf-wbgknt7zn"
+        elif model == "gpt-3.5-turbo" or True:
+            chat_id = "chatbase--1--pdf-p680fxvnm"
+        headers = {
+            "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",
+            "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",
+            "Origin"             : cls.url,
+            "Referer"            : cls.url + "/",
+            "Sec-Fetch-Dest"     : "empty",
+            "Sec-Fetch-Mode"     : "cors",
+            "Sec-Fetch-Site"     : "same-origin",
+        }
+        async with ClientSession(
+            headers=headers
+        ) as session:
+            data = {
+                "messages": messages,
+                "captchaCode": "hadsa",
+                "chatId": chat_id,
+                "conversationId": f"kcXpqEnqUie3dnJlsRi_O-{chat_id}"
+            }
+            async with session.post("https://www.chatbase.co/api/fe/chat", json=data) as response:
+                response.raise_for_status()
+                async for stream in response.content.iter_any():
+                    stream = stream.decode()
+                    if stream:
+                        yield stream
+
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/__init__.py

@@ -6,6 +6,7 @@ from .AiService     import AiService
 from .AItianhu      import AItianhu
 from .Bard          import Bard
 from .Bing          import Bing
+from .ChatBase      import ChatBase
 from .ChatgptAi     import ChatgptAi
 from .ChatgptLogin  import ChatgptLogin
 from .CodeLinkAva   import CodeLinkAva
@@ -43,6 +44,7 @@ __all__ = [
     'AItianhu',
     'Bard',
     'Bing',
+    'ChatBase',
     'ChatgptAi',
     'ChatgptLogin',
     'CodeLinkAva',