~ | Merge pull request #914 from hlohaus/lesh

~ | Add GptGo Provider, Fix AItianhu Provider

g4f/Provider/AItianhu.py

@@ -1,61 +1,38 @@
 from __future__ import annotations
 
 import json
-from aiohttp import ClientSession, http
+from curl_cffi.requests import AsyncSession
 
-from ..typing import AsyncGenerator
-from .base_provider import AsyncGeneratorProvider, format_prompt
+from .base_provider import AsyncProvider, format_prompt
 
 
-class AItianhu(AsyncGeneratorProvider):
+class AItianhu(AsyncProvider):
     url = "https://www.aitianhu.com"
     working = True
     supports_gpt_35_turbo = True
 
     @classmethod
-    async def create_async_generator(
+    async def create_async(
         cls,
         model: str,
         messages: list[dict[str, str]],
         proxy: str = None,
         **kwargs
-    ) -> AsyncGenerator:
-        headers = {
-            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/116.0",
-            "Accept": "application/json, text/plain, */*",
-            "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
-            "Content-Type": "application/json",
-            "Origin": cls.url,
-            "Connection": "keep-alive",
-            "Referer": cls.url + "/",
-            "Sec-Fetch-Dest": "empty",
-            "Sec-Fetch-Mode": "cors",
-            "Sec-Fetch-Site": "same-origin",
+    ) -> str:
+        data = {
+            "prompt": format_prompt(messages),
+            "options": {},
+            "systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.",
+            "temperature": 0.8,
+            "top_p": 1,
+            **kwargs
         }
-        async with ClientSession(
-            headers=headers,
-            version=http.HttpVersion10
-        ) as session:
-            data = {
-                "prompt": format_prompt(messages),
-                "options": {},
-                "systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.",
-                "temperature": 0.8,
-                "top_p": 1,
-                **kwargs
-            }
-            async with session.post(
-                cls.url + "/api/chat-process",
-                proxy=proxy,
-                json=data,
-                ssl=False,
-            ) as response:
-                response.raise_for_status()
-                async for line in response.content:
-                    line = json.loads(line.decode('utf-8'))
-                    token = line["detail"]["choices"][0]["delta"].get("content")
-                    if token:
-                        yield token
+        async with AsyncSession(proxies={"https": proxy}, impersonate="chrome107", verify=False) as session:
+            response = await session.post(cls.url + "/api/chat-process", json=data)
+            response.raise_for_status()
+            line = response.text.splitlines()[-1]
+            line = json.loads(line)
+            return line["text"]
 
 
     @classmethod

g4f/Provider/GptGo.py

@@ -0,0 +1,78 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+import json
+
+from ..typing       import AsyncGenerator
+from .base_provider import AsyncGeneratorProvider, format_prompt
+
+
+class GptGo(AsyncGeneratorProvider):
+    url                   = "https://gptgo.ai"
+    supports_gpt_35_turbo = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: list[dict[str, str]],
+        proxy: str = None,
+        **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:
+            async with session.get(
+                "https://gptgo.ai/action_get_token.php",
+                params={
+                    "q": format_prompt(messages),
+                    "hlgpt": "default",
+                    "hl": "en"
+                },
+                proxy=proxy
+            ) as response:
+                response.raise_for_status()
+                token = (await response.json(content_type=None))["token"]
+
+            async with session.get(
+                "https://gptgo.ai/action_ai_gpt.php",
+                params={
+                    "token": token,
+                },
+                proxy=proxy
+            ) as response:
+                response.raise_for_status()
+                start = "data: "
+                async for line in response.content:
+                    line = line.decode()
+                    if line.startswith("data: "):
+                        if line.startswith("data: [DONE]"):
+                            break
+                        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/Ylokh.py

@@ -51,7 +51,9 @@ class Ylokh(AsyncGeneratorProvider):
                 if stream:
                     async for line in response.content:
                         line = line.decode()
-                        if line.startswith("data: ") and not line.startswith("data: [DONE]"):
+                        if line.startswith("data: "):
+                            if line.startswith("data: [DONE]"):
+                                break
                             line = json.loads(line[6:-1])
                             content = line["choices"][0]["delta"].get("content")
                             if content:
@@ -71,6 +73,7 @@ class Ylokh(AsyncGeneratorProvider):
             ("stream", "bool"),
             ("proxy", "str"),
             ("temperature", "float"),
+            ("top_p", "float"),
         ]
         param = ", ".join([": ".join(p) for p in params])
         return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/__init__.py

@@ -16,6 +16,7 @@ from .DfeHub        import DfeHub
 from .EasyChat      import EasyChat
 from .Forefront     import Forefront
 from .GetGpt        import GetGpt
+from .GptGo         import GptGo
 from .H2o           import H2o
 from .HuggingChat   import HuggingChat
 from .Liaobots      import Liaobots
@@ -57,6 +58,7 @@ __all__ = [
     'EasyChat',
     'Forefront',
     'GetGpt',
+    'GptGo',
     'H2o',
     'HuggingChat',
     'Liaobots',

g4f/Provider/base_provider.py

@@ -35,30 +35,6 @@ class BaseProvider(ABC):
         ]
         param = ", ".join([": ".join(p) for p in params])
         return f"g4f.provider.{cls.__name__} supports: ({param})"
-    
-
-_cookies = {}
-
-def get_cookies(cookie_domain: str) -> dict:
-    if cookie_domain not in _cookies:
-        _cookies[cookie_domain] = {}
-        try:
-            for cookie in browser_cookie3.load(cookie_domain):
-                _cookies[cookie_domain][cookie.name] = cookie.value
-        except:
-            pass
-    return _cookies[cookie_domain]
-
-
-def format_prompt(messages: list[dict[str, str]], add_special_tokens=False):
-    if add_special_tokens or len(messages) > 1:
-        formatted = "\n".join(
-            ["%s: %s" % ((message["role"]).capitalize(), message["content"]) for message in messages]
-        )
-        return f"{formatted}\nAssistant:"
-    else:
-        return messages.pop()["content"]
-
 
 
 class AsyncProvider(BaseProvider):
@@ -67,8 +43,9 @@ class AsyncProvider(BaseProvider):
         cls,
         model: str,
         messages: list[dict[str, str]],
-        stream: bool = False, **kwargs: Any) -> CreateResult:
-        
+        stream: bool = False,
+        **kwargs
+    ) -> CreateResult:
         yield asyncio.run(cls.create_async(model, messages, **kwargs))
 
     @staticmethod
@@ -90,7 +67,20 @@ class AsyncGeneratorProvider(AsyncProvider):
         stream: bool = True,
         **kwargs
     ) -> CreateResult:
-        yield from run_generator(cls.create_async_generator(model, messages, stream=stream, **kwargs))
+        loop = asyncio.new_event_loop()
+        try:
+            asyncio.set_event_loop(loop)
+            generator = cls.create_async_generator(model, messages, stream=stream, **kwargs)
+            gen  = generator.__aiter__()
+            while True:
+                try:
+                    yield loop.run_until_complete(gen.__anext__())
+                except StopAsyncIteration:
+                    break
+        finally:
+            asyncio.set_event_loop(None)
+            loop.close()
+
 
     @classmethod
     async def create_async(
@@ -99,27 +89,36 @@ class AsyncGeneratorProvider(AsyncProvider):
         messages: list[dict[str, str]],
         **kwargs
     ) -> str:
-        chunks = [chunk async for chunk in cls.create_async_generator(model, messages, stream=False, **kwargs)]
-        if chunks:
-            return "".join(chunks)
+        return "".join([chunk async for chunk in cls.create_async_generator(model, messages, stream=False, **kwargs)])
         
     @staticmethod
     @abstractmethod
     def create_async_generator(
-            model: str,
-            messages: list[dict[str, str]],
-            **kwargs
-        ) -> AsyncGenerator:
+        model: str,
+        messages: list[dict[str, str]],
+        **kwargs
+    ) -> AsyncGenerator:
         raise NotImplementedError()
 
 
-def run_generator(generator: AsyncGenerator[Union[Any, str], Any]):
-    loop = asyncio.new_event_loop()
-    gen  = generator.__aiter__()
+_cookies = {}
 
-    while True:
+def get_cookies(cookie_domain: str) -> dict:
+    if cookie_domain not in _cookies:
+        _cookies[cookie_domain] = {}
         try:
-            yield loop.run_until_complete(gen.__anext__())
+            for cookie in browser_cookie3.load(cookie_domain):
+                _cookies[cookie_domain][cookie.name] = cookie.value
+        except:
+            pass
+    return _cookies[cookie_domain]
 
-        except StopAsyncIteration:
-            break
+
+def format_prompt(messages: list[dict[str, str]], add_special_tokens=False):
+    if add_special_tokens or len(messages) > 1:
+        formatted = "\n".join(
+            ["%s: %s" % ((message["role"]).capitalize(), message["content"]) for message in messages]
+        )
+        return f"{formatted}\nAssistant:"
+    else:
+        return messages[0]["content"]

g4f/__init__.py

@@ -16,14 +16,17 @@ class ChatCompletion:
         auth     : Union[str, None]                = None, **kwargs: Any) -> Union[CreateResult, str]:
 
         if isinstance(model, str):
-            try:
+            if model in models.ModelUtils.convert:
                 model = models.ModelUtils.convert[model]
-            except KeyError:
+            else:
                 raise Exception(f'The model: {model} does not exist')
 
         if not provider:
             if isinstance(model.best_provider, list):
-                provider = random.choice(model.best_provider)
+                if stream:
+                    provider = random.choice([p for p in model.best_provider if p.supports_stream])
+                else:
+                    provider = random.choice(model.best_provider)
             else:
                 provider = model.best_provider
 

g4f/models.py

@@ -7,7 +7,6 @@ from .Provider   import (
     CodeLinkAva,
     ChatgptAi, 
     ChatBase, 
-    Yqcloud,
     Vercel, 
     DeepAi, 
     Aivvm, 
@@ -32,7 +31,7 @@ gpt_35_turbo = Model(
     name          = 'gpt-3.5-turbo',
     base_provider = 'openai',
     best_provider = [
-        Yqcloud, DeepAi, CodeLinkAva, ChatgptLogin, ChatgptAi, ChatBase, Aivvm
+        DeepAi, CodeLinkAva, ChatgptLogin, ChatgptAi, ChatBase, Aivvm
     ]
 )
 

testing/test_needs_auth.py

@@ -17,7 +17,7 @@ _providers = [
     g4f.Provider.Bard
 ]
 
-_instruct = "Hello, tell about you in one sentence."
+_instruct = "Hello, are you GPT 4?."
 
 _example = """
 OpenaiChat: Hello! How can I assist you today? 2.0 secs
@@ -39,14 +39,14 @@ No Stream Total: 10.14 secs
 print("Bing: ", end="")
 for response in log_time_yield(
     g4f.ChatCompletion.create,
-    model=g4f.models.gpt_35_turbo,
+    model=g4f.models.default,
     messages=[{"role": "user", "content": _instruct}],
     provider=g4f.Provider.Bing,
     #cookies=g4f.get_cookies(".huggingface.co"),
-    #stream=True,
+    stream=True,
     auth=True
 ):
-    print(response, end="")
+    print(response, end="", flush=True)
 print()
 print()
 
@@ -75,7 +75,7 @@ def run_stream():
             model=None,
             messages=[{"role": "user", "content": _instruct}],
         ):
-            print(response, end="")
+            print(response, end="", flush=True)
         print()
 print("Stream Total:", log_time(run_stream))
 print()