Add CodeLinkAva Provider, Improve test_async.py

g4f/Provider/CodeLinkAva.py

@@ -0,0 +1,63 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+import json
+
+from ..typing       import AsyncGenerator
+from .base_provider import AsyncGeneratorProvider
+
+
+class CodeLinkAva(AsyncGeneratorProvider):
+    url                   = "https://ava-ai-ef611.web.app"
+    supports_gpt_35_turbo = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: list[dict[str, str]],
+        **kwargs
+    ) -> AsyncGenerator:
+        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,
+                "temperature": 0.6,
+                "stream": True,
+                **kwargs
+            }
+            async with session.post("https://ava-alpha-api.codelink.io/api/chat", json=data) as response:
+                response.raise_for_status()
+                start = "data: "
+                async for line in response.content:
+                    line = line.decode()
+                    if line.startswith("data: ") and not line.startswith("data: [DONE]"):
+                        line = json.loads(line[len(start):-1])
+                        content = line["choices"][0]["delta"].get("content")
+                        if content:
+                            yield content
+
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/HuggingChat.py

@@ -68,7 +68,7 @@ class HuggingChat(AsyncGeneratorProvider):
                     if "error" in data:
                         raise RuntimeError(data["error"])
                     elif isinstance(data, list):
-                        yield data[0]["generated_text"]
+                        yield data[0]["generated_text"].strip()
                     else:
                         raise RuntimeError(f"Response: {data}")
                 else:

g4f/Provider/OpenaiChat.py

@@ -34,7 +34,7 @@ class OpenaiChat(AsyncProvider):
                 "https": proxy
             }
         if not access_token:
-            access_token = await cls.get_access_token(cookies)
+            access_token = await cls.get_access_token(cookies, proxies)
         headers = {
             "Accept": "text/event-stream",
             "Authorization": f"Bearer {access_token}",

g4f/Provider/__init__.py

@@ -8,6 +8,7 @@ from .Bard          import Bard
 from .Bing          import Bing
 from .ChatgptAi     import ChatgptAi
 from .ChatgptLogin  import ChatgptLogin
+from .CodeLinkAva   import CodeLinkAva
 from .DeepAi        import DeepAi
 from .DfeHub        import DfeHub
 from .EasyChat      import EasyChat
@@ -44,6 +45,7 @@ __all__ = [
     'Bing',
     'ChatgptAi',
     'ChatgptLogin',
+    'CodeLinkAva',
     'DeepAi',
     'DfeHub',
     'EasyChat',

testing/test_async.py

@@ -7,31 +7,29 @@ sys.path.append(str(Path(__file__).parent.parent))
 import g4f
 from g4f.Provider import AsyncProvider
 from testing.test_providers import get_providers
-from  testing.log_time import log_time_async
+from testing.log_time import log_time_async
 
-async def create_async(provider: AsyncProvider):
+async def create_async(provider):
     model = g4f.models.gpt_35_turbo.name if provider.supports_gpt_35_turbo else g4f.models.default.name
     try:
-        response =  await log_time_async(
+        response = await log_time_async(
             provider.create_async,
             model=model,
             messages=[{"role": "user", "content": "Hello Assistant!"}]
         )
-        assert type(response) is str
-        assert len(response) > 0
-        return response
+        print(f"{provider.__name__}:", response)
     except Exception as e:
-        return e
+        return f"{provider.__name__}: {e.__class__.__name__}: {e}"
 
 async def run_async():
-  _providers: list[AsyncProvider] = [
-    _provider
+  responses: list = [
+    create_async(_provider)
     for _provider in get_providers()
-    if _provider.working and hasattr(_provider, "create_async")
+    if _provider.working and issubclass(_provider, AsyncProvider)
   ]
-  responses = [create_async(_provider) for _provider in _providers]
   responses = await asyncio.gather(*responses)
-  for idx, provider in enumerate(_providers):
-      print(f"{provider.__name__}:", responses[idx])
+  for error in responses:
+      if error:
+        print(error)
 
 print("Total:", asyncio.run(log_time_async(run_async)))