diff options
Diffstat (limited to 'g4f/client')
-rw-r--r-- | g4f/client/__init__.py | 1 | ||||
-rw-r--r-- | g4f/client/async_client.py | 339 | ||||
-rw-r--r-- | g4f/client/client.py | 467 |
3 files changed, 335 insertions, 472 deletions
diff --git a/g4f/client/__init__.py b/g4f/client/__init__.py index 5bb4ba35..9fb3551e 100644 --- a/g4f/client/__init__.py +++ b/g4f/client/__init__.py @@ -1,3 +1,2 @@ from .stubs import ChatCompletion, ChatCompletionChunk, ImagesResponse from .client import Client -from .async_client import AsyncClient
\ No newline at end of file diff --git a/g4f/client/async_client.py b/g4f/client/async_client.py deleted file mode 100644 index b4d52a60..00000000 --- a/g4f/client/async_client.py +++ /dev/null @@ -1,339 +0,0 @@ -from __future__ import annotations - -import os -import time -import random -import string -import logging -import asyncio -from typing import Union, AsyncIterator -from ..providers.base_provider import AsyncGeneratorProvider -from ..image import ImageResponse, to_image, to_data_uri -from ..typing import Messages, ImageType -from ..providers.types import BaseProvider, ProviderType, FinishReason -from ..providers.conversation import BaseConversation -from ..image import ImageResponse as ImageProviderResponse -from ..errors import NoImageResponseError -from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse -from .image_models import ImageModels -from .types import IterResponse, ImageProvider -from .types import Client as BaseClient -from .service import get_model_and_provider, get_last_provider -from .helper import find_stop, filter_json, filter_none -from ..models import ModelUtils -from ..Provider import IterListProvider -from .helper import cast_iter_async - -try: - anext # Python 3.8+ -except NameError: - async def anext(aiter): - try: - return await aiter.__anext__() - except StopAsyncIteration: - raise StopIteration - -async def safe_aclose(generator): - try: - await generator.aclose() - except Exception as e: - logging.warning(f"Error while closing generator: {e}") - -async def iter_response( - response: AsyncIterator[str], - stream: bool, - response_format: dict = None, - max_tokens: int = None, - stop: list = None -) -> AsyncIterator[Union[ChatCompletion, ChatCompletionChunk]]: - content = "" - finish_reason = None - completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28)) - idx = 0 - - try: - async for chunk in response: - if isinstance(chunk, FinishReason): - finish_reason = chunk.reason - break - elif isinstance(chunk, BaseConversation): - yield chunk - continue - - content += str(chunk) - idx += 1 - - if max_tokens is not None and idx >= max_tokens: - finish_reason = "length" - - first, content, chunk = find_stop(stop, content, chunk if stream else None) - - if first != -1: - finish_reason = "stop" - - if stream: - yield ChatCompletionChunk(chunk, None, completion_id, int(time.time())) - - if finish_reason is not None: - break - - finish_reason = "stop" if finish_reason is None else finish_reason - - if stream: - yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time())) - else: - if response_format is not None and "type" in response_format: - if response_format["type"] == "json_object": - content = filter_json(content) - yield ChatCompletion(content, finish_reason, completion_id, int(time.time())) - finally: - if hasattr(response, 'aclose'): - await safe_aclose(response) - -async def iter_append_model_and_provider(response: AsyncIterator) -> AsyncIterator: - last_provider = None - try: - async for chunk in response: - last_provider = get_last_provider(True) if last_provider is None else last_provider - chunk.model = last_provider.get("model") - chunk.provider = last_provider.get("name") - yield chunk - finally: - if hasattr(response, 'aclose'): - await safe_aclose(response) - -class AsyncClient(BaseClient): - def __init__( - self, - provider: ProviderType = None, - image_provider: ImageProvider = None, - **kwargs - ) -> None: - super().__init__(**kwargs) - self.chat: Chat = Chat(self, provider) - self._images: Images = Images(self, image_provider) - - @property - def images(self) -> Images: - return self._images - -class Completions: - def __init__(self, client: 'AsyncClient', provider: ProviderType = None): - self.client: 'AsyncClient' = client - self.provider: ProviderType = provider - - async def create( - self, - messages: Messages, - model: str, - provider: ProviderType = None, - stream: bool = False, - proxy: str = None, - response_format: dict = None, - max_tokens: int = None, - stop: Union[list[str], str] = None, - api_key: str = None, - ignored: list[str] = None, - ignore_working: bool = False, - ignore_stream: bool = False, - **kwargs - ) -> Union[ChatCompletion, AsyncIterator[ChatCompletionChunk]]: - model, provider = get_model_and_provider( - model, - self.provider if provider is None else provider, - stream, - ignored, - ignore_working, - ignore_stream, - ) - - stop = [stop] if isinstance(stop, str) else stop - - response = provider.create_completion( - model, - messages, - stream=stream, - **filter_none( - proxy=self.client.get_proxy() if proxy is None else proxy, - max_tokens=max_tokens, - stop=stop, - api_key=self.client.api_key if api_key is None else api_key - ), - **kwargs - ) - - if isinstance(response, AsyncIterator): - response = iter_response(response, stream, response_format, max_tokens, stop) - response = iter_append_model_and_provider(response) - return response if stream else await anext(response) - else: - response = cast_iter_async(response) - response = iter_response(response, stream, response_format, max_tokens, stop) - response = iter_append_model_and_provider(response) - return response if stream else await anext(response) - -class Chat: - completions: Completions - - def __init__(self, client: AsyncClient, provider: ProviderType = None): - self.completions = Completions(client, provider) - -async def iter_image_response(response: AsyncIterator) -> Union[ImagesResponse, None]: - logging.info("Starting iter_image_response") - try: - async for chunk in response: - logging.info(f"Processing chunk: {chunk}") - if isinstance(chunk, ImageProviderResponse): - logging.info("Found ImageProviderResponse") - return ImagesResponse([Image(image) for image in chunk.get_list()]) - - logging.warning("No ImageProviderResponse found in the response") - return None - finally: - if hasattr(response, 'aclose'): - await safe_aclose(response) - -async def create_image(client: AsyncClient, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> AsyncIterator: - logging.info(f"Creating image with provider: {provider}, model: {model}, prompt: {prompt}") - - if isinstance(provider, type) and provider.__name__ == "You": - kwargs["chat_mode"] = "create" - else: - prompt = f"create an image with: {prompt}" - - response = await provider.create_completion( - model, - [{"role": "user", "content": prompt}], - stream=True, - proxy=client.get_proxy(), - **kwargs - ) - - logging.info(f"Response from create_completion: {response}") - return response - -class Images: - def __init__(self, client: 'AsyncClient', provider: ImageProvider = None): - self.client: 'AsyncClient' = client - self.provider: ImageProvider = provider - self.models: ImageModels = ImageModels(client) - - async def generate(self, prompt: str, model: str = None, **kwargs) -> ImagesResponse: - logging.info(f"Starting asynchronous image generation for model: {model}, prompt: {prompt}") - provider = self.models.get(model, self.provider) - if provider is None: - raise ValueError(f"Unknown model: {model}") - - logging.info(f"Provider: {provider}") - - if isinstance(provider, IterListProvider): - if provider.providers: - provider = provider.providers[0] - logging.info(f"Using first provider from IterListProvider: {provider}") - else: - raise ValueError(f"IterListProvider for model {model} has no providers") - - if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider): - logging.info("Using AsyncGeneratorProvider") - messages = [{"role": "user", "content": prompt}] - generator = None - try: - generator = provider.create_async_generator(model, messages, **kwargs) - async for response in generator: - logging.debug(f"Received response: {type(response)}") - if isinstance(response, ImageResponse): - return self._process_image_response(response) - elif isinstance(response, str): - image_response = ImageResponse([response], prompt) - return self._process_image_response(image_response) - except RuntimeError as e: - if "async generator ignored GeneratorExit" in str(e): - logging.warning("Generator ignored GeneratorExit, handling gracefully") - else: - raise - finally: - if generator and hasattr(generator, 'aclose'): - await safe_aclose(generator) - logging.info("AsyncGeneratorProvider processing completed") - elif hasattr(provider, 'create'): - logging.info("Using provider's create method") - async_create = asyncio.iscoroutinefunction(provider.create) - if async_create: - response = await provider.create(prompt) - else: - response = provider.create(prompt) - - if isinstance(response, ImageResponse): - return self._process_image_response(response) - elif isinstance(response, str): - image_response = ImageResponse([response], prompt) - return self._process_image_response(image_response) - elif hasattr(provider, 'create_completion'): - logging.info("Using provider's create_completion method") - response = await create_image(self.client, provider, prompt, model, **kwargs) - async for chunk in response: - if isinstance(chunk, ImageProviderResponse): - logging.info("Found ImageProviderResponse") - return ImagesResponse([Image(image) for image in chunk.get_list()]) - else: - raise ValueError(f"Provider {provider} does not support image generation") - - logging.error(f"Unexpected response type: {type(response)}") - raise NoImageResponseError(f"Unexpected response type: {type(response)}") - - def _process_image_response(self, response: ImageResponse) -> ImagesResponse: - processed_images = [] - for image_data in response.get_list(): - if image_data.startswith('http://') or image_data.startswith('https://'): - processed_images.append(Image(url=image_data)) - else: - image = to_image(image_data) - file_name = self._save_image(image) - processed_images.append(Image(url=file_name)) - return ImagesResponse(processed_images) - - def _save_image(self, image: 'PILImage') -> str: - os.makedirs('generated_images', exist_ok=True) - file_name = f"generated_images/image_{int(time.time())}.png" - image.save(file_name) - return file_name - - async def create_variation(self, image: Union[str, bytes], model: str = None, **kwargs) -> ImagesResponse: - provider = self.models.get(model, self.provider) - if provider is None: - raise ValueError(f"Unknown model: {model}") - - if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider): - messages = [{"role": "user", "content": "create a variation of this image"}] - image_data = to_data_uri(image) - generator = None - try: - generator = provider.create_async_generator(model, messages, image=image_data, **kwargs) - async for response in generator: - if isinstance(response, ImageResponse): - return self._process_image_response(response) - elif isinstance(response, str): - image_response = ImageResponse([response], "Image variation") - return self._process_image_response(image_response) - except RuntimeError as e: - if "async generator ignored GeneratorExit" in str(e): - logging.warning("Generator ignored GeneratorExit in create_variation, handling gracefully") - else: - raise - finally: - if generator and hasattr(generator, 'aclose'): - await safe_aclose(generator) - logging.info("AsyncGeneratorProvider processing completed in create_variation") - elif hasattr(provider, 'create_variation'): - if asyncio.iscoroutinefunction(provider.create_variation): - response = await provider.create_variation(image, **kwargs) - else: - response = provider.create_variation(image, **kwargs) - - if isinstance(response, ImageResponse): - return self._process_image_response(response) - elif isinstance(response, str): - image_response = ImageResponse([response], "Image variation") - return self._process_image_response(image_response) - else: - raise ValueError(f"Provider {provider} does not support image variation") diff --git a/g4f/client/client.py b/g4f/client/client.py index 56644913..41238df5 100644 --- a/g4f/client/client.py +++ b/g4f/client/client.py @@ -4,12 +4,16 @@ import os import time import random import string -import logging +import threading import asyncio -from typing import Union +import base64 +import aiohttp +import queue +from typing import Union, AsyncIterator, Iterator + from ..providers.base_provider import AsyncGeneratorProvider from ..image import ImageResponse, to_image, to_data_uri -from ..typing import Union, Iterator, Messages, ImageType +from ..typing import Messages, ImageType from ..providers.types import BaseProvider, ProviderType, FinishReason from ..providers.conversation import BaseConversation from ..image import ImageResponse as ImageProviderResponse @@ -23,44 +27,83 @@ from .helper import find_stop, filter_json, filter_none from ..models import ModelUtils from ..Provider import IterListProvider +# Helper function to convert an async generator to a synchronous iterator +def to_sync_iter(async_gen: AsyncIterator) -> Iterator: + q = queue.Queue() + loop = asyncio.new_event_loop() + done = object() + + def _run(): + asyncio.set_event_loop(loop) + + async def iterate(): + try: + async for item in async_gen: + q.put(item) + finally: + q.put(done) + + loop.run_until_complete(iterate()) + loop.close() + + threading.Thread(target=_run).start() + while True: + item = q.get() + if item is done: + break + yield item + +# Helper function to convert a synchronous iterator to an async iterator +async def to_async_iterator(iterator): + for item in iterator: + yield item + +# Synchronous iter_response function def iter_response( - response: Iterator[str], + response: Union[Iterator[str], AsyncIterator[str]], stream: bool, response_format: dict = None, max_tokens: int = None, stop: list = None -) -> IterResponse: +) -> Iterator[Union[ChatCompletion, ChatCompletionChunk]]: content = "" finish_reason = None completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28)) - - for idx, chunk in enumerate(response): + idx = 0 + + if hasattr(response, '__aiter__'): + # It's an async iterator, wrap it into a sync iterator + response = to_sync_iter(response) + + for chunk in response: if isinstance(chunk, FinishReason): finish_reason = chunk.reason break elif isinstance(chunk, BaseConversation): yield chunk continue - + content += str(chunk) - + if max_tokens is not None and idx + 1 >= max_tokens: finish_reason = "length" - + first, content, chunk = find_stop(stop, content, chunk if stream else None) - + if first != -1: finish_reason = "stop" - + if stream: yield ChatCompletionChunk(chunk, None, completion_id, int(time.time())) - + if finish_reason is not None: break - + + idx += 1 + finish_reason = "stop" if finish_reason is None else finish_reason - + if stream: yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time())) else: @@ -69,16 +112,16 @@ def iter_response( content = filter_json(content) yield ChatCompletion(content, finish_reason, completion_id, int(time.time())) - -def iter_append_model_and_provider(response: IterResponse) -> IterResponse: +# Synchronous iter_append_model_and_provider function +def iter_append_model_and_provider(response: Iterator) -> Iterator: last_provider = None + for chunk in response: last_provider = get_last_provider(True) if last_provider is None else last_provider chunk.model = last_provider.get("model") chunk.provider = last_provider.get("name") yield chunk - class Client(BaseClient): def __init__( self, @@ -97,7 +140,6 @@ class Client(BaseClient): async def async_images(self) -> Images: return self._images - class Completions: def __init__(self, client: Client, provider: ProviderType = None): self.client: Client = client @@ -129,25 +171,115 @@ class Completions: ) stop = [stop] if isinstance(stop, str) else stop - - response = provider.create_completion( + + if asyncio.iscoroutinefunction(provider.create_completion): + # Run the asynchronous function in an event loop + response = asyncio.run(provider.create_completion( + model, + messages, + stream=stream, + **filter_none( + proxy=self.client.get_proxy() if proxy is None else proxy, + max_tokens=max_tokens, + stop=stop, + api_key=self.client.api_key if api_key is None else api_key + ), + **kwargs + )) + else: + response = provider.create_completion( + model, + messages, + stream=stream, + **filter_none( + proxy=self.client.get_proxy() if proxy is None else proxy, + max_tokens=max_tokens, + stop=stop, + api_key=self.client.api_key if api_key is None else api_key + ), + **kwargs + ) + + if stream: + if hasattr(response, '__aiter__'): + # It's an async generator, wrap it into a sync iterator + response = to_sync_iter(response) + + # Now 'response' is an iterator + response = iter_response(response, stream, response_format, max_tokens, stop) + response = iter_append_model_and_provider(response) + return response + else: + if hasattr(response, '__aiter__'): + # If response is an async generator, collect it into a list + response = list(to_sync_iter(response)) + response = iter_response(response, stream, response_format, max_tokens, stop) + response = iter_append_model_and_provider(response) + return next(response) + + async def async_create( + self, + messages: Messages, + model: str, + provider: ProviderType = None, + stream: bool = False, + proxy: str = None, + response_format: dict = None, + max_tokens: int = None, + stop: Union[list[str], str] = None, + api_key: str = None, + ignored: list[str] = None, + ignore_working: bool = False, + ignore_stream: bool = False, + **kwargs + ) -> Union[ChatCompletion, AsyncIterator[ChatCompletionChunk]]: + model, provider = get_model_and_provider( model, - messages, - stream=stream, - **filter_none( - proxy=self.client.get_proxy() if proxy is None else proxy, - max_tokens=max_tokens, - stop=stop, - api_key=self.client.api_key if api_key is None else api_key - ), - **kwargs + self.provider if provider is None else provider, + stream, + ignored, + ignore_working, + ignore_stream, ) - - response = iter_response(response, stream, response_format, max_tokens, stop) - response = iter_append_model_and_provider(response) - - return response if stream else next(response) + stop = [stop] if isinstance(stop, str) else stop + + if asyncio.iscoroutinefunction(provider.create_completion): + response = await provider.create_completion( + model, + messages, + stream=stream, + **filter_none( + proxy=self.client.get_proxy() if proxy is None else proxy, + max_tokens=max_tokens, + stop=stop, + api_key=self.client.api_key if api_key is None else api_key + ), + **kwargs + ) + else: + response = provider.create_completion( + model, + messages, + stream=stream, + **filter_none( + proxy=self.client.get_proxy() if proxy is None else proxy, + max_tokens=max_tokens, + stop=stop, + api_key=self.client.api_key if api_key is None else api_key + ), + **kwargs + ) + + # Removed 'await' here since 'async_iter_response' returns an async generator + response = async_iter_response(response, stream, response_format, max_tokens, stop) + response = async_iter_append_model_and_provider(response) + + if stream: + return response + else: + async for result in response: + return result class Chat: completions: Completions @@ -155,153 +287,224 @@ class Chat: def __init__(self, client: Client, provider: ProviderType = None): self.completions = Completions(client, provider) +# Asynchronous versions of the helper functions +async def async_iter_response( + response: Union[AsyncIterator[str], Iterator[str]], + stream: bool, + response_format: dict = None, + max_tokens: int = None, + stop: list = None +) -> AsyncIterator[Union[ChatCompletion, ChatCompletionChunk]]: + content = "" + finish_reason = None + completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28)) + idx = 0 + + if not hasattr(response, '__aiter__'): + response = to_async_iterator(response) + + async for chunk in response: + if isinstance(chunk, FinishReason): + finish_reason = chunk.reason + break + elif isinstance(chunk, BaseConversation): + yield chunk + continue + + content += str(chunk) + + if max_tokens is not None and idx + 1 >= max_tokens: + finish_reason = "length" + + first, content, chunk = find_stop(stop, content, chunk if stream else None) -def iter_image_response(response: Iterator) -> Union[ImagesResponse, None]: - logging.info("Starting iter_image_response") - response_list = list(response) - logging.info(f"Response list: {response_list}") - - for chunk in response_list: - logging.info(f"Processing chunk: {chunk}") + if first != -1: + finish_reason = "stop" + + if stream: + yield ChatCompletionChunk(chunk, None, completion_id, int(time.time())) + + if finish_reason is not None: + break + + idx += 1 + + finish_reason = "stop" if finish_reason is None else finish_reason + + if stream: + yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time())) + else: + if response_format is not None and "type" in response_format: + if response_format["type"] == "json_object": + content = filter_json(content) + yield ChatCompletion(content, finish_reason, completion_id, int(time.time())) + +async def async_iter_append_model_and_provider(response: AsyncIterator) -> AsyncIterator: + last_provider = None + + if not hasattr(response, '__aiter__'): + response = to_async_iterator(response) + + async for chunk in response: + last_provider = get_last_provider(True) if last_provider is None else last_provider + chunk.model = last_provider.get("model") + chunk.provider = last_provider.get("name") + yield chunk + +async def iter_image_response(response: AsyncIterator) -> Union[ImagesResponse, None]: + response_list = [] + async for chunk in response: if isinstance(chunk, ImageProviderResponse): - logging.info("Found ImageProviderResponse") - return ImagesResponse([Image(image) for image in chunk.get_list()]) - - logging.warning("No ImageProviderResponse found in the response") - return None + response_list.extend(chunk.get_list()) + elif isinstance(chunk, str): + response_list.append(chunk) + if response_list: + return ImagesResponse([Image(image) for image in response_list]) -def create_image(client: Client, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> Iterator: - logging.info(f"Creating image with provider: {provider}, model: {model}, prompt: {prompt}") - + return None + +async def create_image(client: Client, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> AsyncIterator: if isinstance(provider, type) and provider.__name__ == "You": kwargs["chat_mode"] = "create" else: prompt = f"create an image with: {prompt}" - - response = provider.create_completion( - model, - [{"role": "user", "content": prompt}], - stream=True, - proxy=client.get_proxy(), - **kwargs - ) - - logging.info(f"Response from create_completion: {response}") + + if asyncio.iscoroutinefunction(provider.create_completion): + response = await provider.create_completion( + model, + [{"role": "user", "content": prompt}], + stream=True, + proxy=client.get_proxy(), + **kwargs + ) + else: + response = provider.create_completion( + model, + [{"role": "user", "content": prompt}], + stream=True, + proxy=client.get_proxy(), + **kwargs + ) + + # Wrap synchronous iterator into async iterator if necessary + if not hasattr(response, '__aiter__'): + response = to_async_iterator(response) + return response +class Image: + def __init__(self, url: str = None, b64_json: str = None): + self.url = url + self.b64_json = b64_json + + def __repr__(self): + return f"Image(url={self.url}, b64_json={'<base64 data>' if self.b64_json else None})" + +class ImagesResponse: + def __init__(self, data: list[Image]): + self.data = data + + def __repr__(self): + return f"ImagesResponse(data={self.data})" class Images: - def __init__(self, client: 'Client', provider: ImageProvider = None): + def __init__(self, client: 'Client', provider: 'ImageProvider' = None): self.client: 'Client' = client - self.provider: ImageProvider = provider + self.provider: 'ImageProvider' = provider self.models: ImageModels = ImageModels(client) - def generate(self, prompt: str, model: str = None, **kwargs) -> ImagesResponse: - logging.info(f"Starting synchronous image generation for model: {model}, prompt: {prompt}") - try: - loop = asyncio.get_event_loop() - except RuntimeError: - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - - try: - result = loop.run_until_complete(self.async_generate(prompt, model, **kwargs)) - logging.info(f"Synchronous image generation completed. Result: {result}") - return result - except Exception as e: - logging.error(f"Error in synchronous image generation: {str(e)}") - raise - finally: - if loop.is_running(): - loop.close() - - async def async_generate(self, prompt: str, model: str = None, **kwargs) -> ImagesResponse: - logging.info(f"Generating image for model: {model}, prompt: {prompt}") + def generate(self, prompt: str, model: str = None, response_format: str = "url", **kwargs) -> ImagesResponse: + """ + Synchronous generate method that runs the async_generate method in an event loop. + """ + return asyncio.run(self.async_generate(prompt, model, response_format=response_format, **kwargs)) + + async def async_generate(self, prompt: str, model: str = None, response_format: str = "url", **kwargs) -> ImagesResponse: provider = self.models.get(model, self.provider) if provider is None: raise ValueError(f"Unknown model: {model}") - - logging.info(f"Provider: {provider}") - + if isinstance(provider, IterListProvider): if provider.providers: provider = provider.providers[0] - logging.info(f"Using first provider from IterListProvider: {provider}") else: raise ValueError(f"IterListProvider for model {model} has no providers") if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider): - logging.info("Using AsyncGeneratorProvider") messages = [{"role": "user", "content": prompt}] async for response in provider.create_async_generator(model, messages, **kwargs): if isinstance(response, ImageResponse): - return self._process_image_response(response) + return await self._process_image_response(response, response_format) elif isinstance(response, str): image_response = ImageResponse([response], prompt) - return self._process_image_response(image_response) + return await self._process_image_response(image_response, response_format) elif hasattr(provider, 'create'): - logging.info("Using provider's create method") if asyncio.iscoroutinefunction(provider.create): response = await provider.create(prompt) else: response = provider.create(prompt) - + if isinstance(response, ImageResponse): - return self._process_image_response(response) + return await self._process_image_response(response, response_format) elif isinstance(response, str): image_response = ImageResponse([response], prompt) - return self._process_image_response(image_response) + return await self._process_image_response(image_response, response_format) else: raise ValueError(f"Provider {provider} does not support image generation") - - logging.error(f"Unexpected response type: {type(response)}") + raise NoImageResponseError(f"Unexpected response type: {type(response)}") - def _process_image_response(self, response: ImageResponse) -> ImagesResponse: + async def _process_image_response(self, response: ImageResponse, response_format: str) -> ImagesResponse: processed_images = [] + for image_data in response.get_list(): if image_data.startswith('http://') or image_data.startswith('https://'): - processed_images.append(Image(url=image_data)) + if response_format == "url": + processed_images.append(Image(url=image_data)) + elif response_format == "b64_json": + # Fetch the image data and convert it to base64 + image_content = await self._fetch_image(image_data) + b64_json = base64.b64encode(image_content).decode('utf-8') + processed_images.append(Image(b64_json=b64_json)) else: - image = to_image(image_data) - file_name = self._save_image(image) - processed_images.append(Image(url=file_name)) + # Assume image_data is base64 data or binary + if response_format == "url": + if image_data.startswith('data:image'): + # Remove the data URL scheme and get the base64 data + header, base64_data = image_data.split(',', 1) + else: + base64_data = image_data + # Decode the base64 data + image_data_bytes = base64.b64decode(base64_data) + # Convert bytes to an image + image = to_image(image_data_bytes) + file_name = self._save_image(image) + processed_images.append(Image(url=file_name)) + elif response_format == "b64_json": + if isinstance(image_data, bytes): + b64_json = base64.b64encode(image_data).decode('utf-8') + else: + b64_json = image_data # If already base64-encoded string + processed_images.append(Image(b64_json=b64_json)) + return ImagesResponse(processed_images) + async def _fetch_image(self, url: str) -> bytes: + # Asynchronously fetch image data from the URL + async with aiohttp.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}") + def _save_image(self, image: 'PILImage') -> str: os.makedirs('generated_images', exist_ok=True) - file_name = f"generated_images/image_{int(time.time())}.png" + file_name = f"generated_images/image_{int(time.time())}_{random.randint(0, 10000)}.png" image.save(file_name) return file_name - async def create_variation(self, image: Union[str, bytes], model: str = None, **kwargs): - provider = self.models.get(model, self.provider) - if provider is None: - raise ValueError(f"Unknown model: {model}") - - if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider): - messages = [{"role": "user", "content": "create a variation of this image"}] - image_data = to_data_uri(image) - async for response in provider.create_async_generator(model, messages, image=image_data, **kwargs): - if isinstance(response, ImageResponse): - return self._process_image_response(response) - elif isinstance(response, str): - image_response = ImageResponse([response], "Image variation") - return self._process_image_response(image_response) - elif hasattr(provider, 'create_variation'): - if asyncio.iscoroutinefunction(provider.create_variation): - response = await provider.create_variation(image, **kwargs) - else: - response = provider.create_variation(image, **kwargs) - - if isinstance(response, ImageResponse): - return self._process_image_response(response) - elif isinstance(response, str): - image_response = ImageResponse([response], "Image variation") - return self._process_image_response(image_response) - else: - raise ValueError(f"Provider {provider} does not support image variation") - - raise NoImageResponseError("Failed to create image variation") - + 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 |