Added OpenChat's Aura Model as a new Provider (#1371)

* Added File for new Provider: Aura

* Added Aura Provider in init

g4f/Provider/Aura.py

@@ -0,0 +1,56 @@
+from __future__ import annotations
+from aiohttp import ClientSession
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+
+class Aura(AsyncGeneratorProvider):
+    url                   = "https://openchat.team"
+    working               = True
+    supports_gpt_35_turbo = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "Accept": "*/*",
+            "Accept-Encoding": "gzip, deflate, br",
+            "Accept-Language": "en-GB,en-US;q=0.9,en;q=0.8",
+            "Content-Type": "application/json",
+            "Origin": f"{cls.url}",
+            "Referer": f"{cls.url}/",
+            "Sec-Ch-Ua": '"Not_A Brand";v="8", "Chromium";v="120", "Google      Chrome";v="120"',
+            "Sec-Ch-Ua-Mobile": "?0",
+            "Sec-Ch-Ua-Platform": '"Linux"',
+            "Sec-Fetch-Dest": "empty",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Site": "same-origin",
+            "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
+        }
+        async with ClientSession(headers=headers) as session:
+            system_prompt=""
+            system_message=[]
+            for message in messages:
+                if message["role"]=="system":
+                    system_prompt +=message["content"]
+                else:
+                    system_message.append(message)
+           
+            data = {
+                "model": {
+                    "id": "openchat_v3.2_mistral",
+                    "name": "OpenChat Aura",
+                    "maxLength": 24576,
+                    "tokenLimit": 8192
+                    },
+                "messages": system_message,
+                "key": "",
+                "prompt": f"{system_prompt}",
+                "temperature": 0.5
+                }
+            async with session.post(f"{cls.url}/api/chat",json=data,proxy=proxy) as response:
+                yield await response.text()

g4f/Provider/__init__.py

@@ -6,7 +6,7 @@ from .deprecated     import *
 from .needs_auth     import *
 from .unfinished     import *
 from .selenium       import *
-
+from .Aura            import Aura
 from .AiAsk           import AiAsk
 from .Aichat          import Aichat
 from .AiChatOnline    import AiChatOnline