diff options
| -rw-r--r-- | README.md | 2 | ||||
| -rw-r--r-- | docs/async_client.md | 9 | ||||
| -rw-r--r-- | docs/client.md | 4 | ||||
| -rw-r--r-- | docs/docker.md | 2 | ||||
| -rw-r--r-- | docs/git.md | 2 | ||||
| -rw-r--r-- | docs/interference-api.md | 6 | ||||
| -rw-r--r-- | g4f/client/client.py | 28 |
7 files changed, 34 insertions, 19 deletions
@@ -174,7 +174,7 @@ from g4f.client import Client client = Client() response = client.chat.completions.create( - model="gpt-3.5-turbo", + model="gpt-4o-mini", messages=[{"role": "user", "content": "Hello"}], # Add any other necessary parameters ) diff --git a/docs/async_client.md b/docs/async_client.md index 0719a463..7194c792 100644 --- a/docs/async_client.md +++ b/docs/async_client.md @@ -57,7 +57,7 @@ client = Client( **Here’s an improved example of creating chat completions:** ```python response = await async_client.chat.completions.create( - model="gpt-3.5-turbo", + model="gpt-4o-mini", messages=[ { "role": "user", @@ -99,7 +99,7 @@ async def main(): client = Client() response = await client.chat.completions.async_create( - model="gpt-3.5-turbo", + model="gpt-4o-mini", messages=[ { "role": "user", @@ -230,7 +230,7 @@ async def main(): client = Client() task1 = client.chat.completions.async_create( - model="gpt-3.5-turbo", + model="gpt-4o-mini", messages=[ { "role": "user", @@ -262,6 +262,7 @@ The G4F AsyncClient supports a wide range of AI models and providers, allowing y ### Models - GPT-3.5-Turbo + - GPT-4o-Mini - GPT-4 - DALL-E 3 - Gemini @@ -306,7 +307,7 @@ Implementing proper error handling and following best practices is crucial when ```python try: response = await client.chat.completions.async_create( - model="gpt-3.5-turbo", + model="gpt-4o-mini", messages=[ { "role": "user", diff --git a/docs/client.md b/docs/client.md index 388b2e4b..da45d7fd 100644 --- a/docs/client.md +++ b/docs/client.md @@ -62,7 +62,7 @@ client = Client( **Here’s an improved example of creating chat completions:** ```python response = client.chat.completions.create( - model="gpt-3.5-turbo", + model="gpt-4o-mini", messages=[ { "role": "user", @@ -104,7 +104,7 @@ from g4f.client import Client client = Client() response = client.chat.completions.create( - model="gpt-3.5-turbo", + model="gpt-4o-mini", messages=[ { "role": "user", diff --git a/docs/docker.md b/docs/docker.md index e1caaf3d..8017715c 100644 --- a/docs/docker.md +++ b/docs/docker.md @@ -71,7 +71,7 @@ import requests url = "http://localhost:1337/v1/chat/completions" body = { - "model": "gpt-3.5-turbo", + "model": "gpt-4o-mini", "stream": False, "messages": [ {"role": "assistant", "content": "What can you do?"} diff --git a/docs/git.md b/docs/git.md index 33a0ff42..ff6c8091 100644 --- a/docs/git.md +++ b/docs/git.md @@ -95,7 +95,7 @@ from g4f.client import Client client = Client() response = client.chat.completions.create( - model="gpt-3.5-turbo", + model="gpt-4o-mini", messages=[ { "role": "user", diff --git a/docs/interference-api.md b/docs/interference-api.md index 2e18e7b5..324334c4 100644 --- a/docs/interference-api.md +++ b/docs/interference-api.md @@ -64,7 +64,7 @@ curl -X POST "http://localhost:1337/v1/chat/completions" \ "content": "Hello" } ], - "model": "gpt-3.5-turbo" + "model": "gpt-4o-mini" }' ``` @@ -104,7 +104,7 @@ client = OpenAI( ) response = client.chat.completions.create( - model="gpt-3.5-turbo", + model="gpt-4o-mini", messages=[{"role": "user", "content": "Write a poem about a tree"}], stream=True, ) @@ -131,7 +131,7 @@ import requests url = "http://localhost:1337/v1/chat/completions" body = { - "model": "gpt-3.5-turbo", + "model": "gpt-4o-mini", "stream": False, "messages": [ {"role": "assistant", "content": "What can you do?"} diff --git a/g4f/client/client.py b/g4f/client/client.py index 8e195213..63358302 100644 --- a/g4f/client/client.py +++ b/g4f/client/client.py @@ -154,14 +154,29 @@ class AsyncClient(Client): stacklevel=2 ) super().__init__(*args, **kwargs) + self.chat = Chat(self) + self._images = Images(self) + self.completions = Completions(self) - async def chat_complete(self, *args, **kwargs): - """Legacy method that redirects to async_create""" - return await self.chat.completions.async_create(*args, **kwargs) + @property + def images(self) -> 'Images': + return self._images + + async def async_create(self, *args, **kwargs) -> Union['ChatCompletion', AsyncIterator['ChatCompletionChunk']]: + response = await super().async_create(*args, **kwargs) + async for result in response: + return result - async def create_image(self, *args, **kwargs): - """Legacy method that redirects to async_generate""" - return await self.images.async_generate(*args, **kwargs) + async def async_generate(self, *args, **kwargs) -> 'ImagesResponse': + return await super().async_generate(*args, **kwargs) + + async def _fetch_image(self, url: str) -> bytes: + async with ClientSession() as session: + async with session.get(url) as resp: + if resp.status == 200: + return await resp.read() + else: + raise Exception(f"Failed to fetch image from {url}, status code {resp.status}") class Completions: def __init__(self, client: Client, provider: ProviderType = None): @@ -531,4 +546,3 @@ class Images: async def create_variation(self, image: Union[str, bytes], model: str = None, response_format: str = "url", **kwargs): # Existing implementation, adjust if you want to support b64_json here as well pass - |