gpt4free/g4f/client/__init__.py
Heiner Lohaus 2a7770ea51 Add full nodriver support to OpenaiChat
Move small docker images before old images
2024-11-18 02:53:50 +01:00

467 lines
19 KiB
Python

from __future__ import annotations
import os
import time
import random
import string
import asyncio
import base64
import aiohttp
import logging
from typing import Union, AsyncIterator, Iterator, Coroutine
from ..providers.base_provider import AsyncGeneratorProvider
from ..image import ImageResponse, to_image, to_data_uri, is_accepted_format, EXTENSIONS_MAP
from ..typing import Messages, Cookies, Image
from ..providers.types import ProviderType, FinishReason, BaseConversation
from ..errors import NoImageResponseError
from ..providers.retry_provider import IterListProvider
from ..Provider.needs_auth.BingCreateImages import BingCreateImages
from ..requests.aiohttp import get_connector
from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
from .image_models import ImageModels
from .types import IterResponse, ImageProvider, Client as BaseClient
from .service import get_model_and_provider, get_last_provider, convert_to_provider
from .helper import find_stop, filter_json, filter_none, safe_aclose, to_sync_iter, to_async_iterator
try:
anext # Python 3.8+
except NameError:
async def anext(aiter):
try:
return await aiter.__anext__()
except StopAsyncIteration:
raise StopIteration
# Synchronous iter_response function
def iter_response(
response: Union[Iterator[str], AsyncIterator[str]],
stream: bool,
response_format: dict = None,
max_tokens: int = None,
stop: list = None
) -> Iterator[Union[ChatCompletion, ChatCompletionChunk]]:
content = ""
finish_reason = None
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
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
chunk = str(chunk)
content += 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:
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()))
# Synchronous iter_append_model_and_provider function
def iter_append_model_and_provider(response: Iterator[ChatCompletionChunk]) -> Iterator[ChatCompletionChunk]:
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
async def async_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
chunk = str(chunk)
content += 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 async_iter_append_model_and_provider(response: AsyncIterator[ChatCompletionChunk]) -> 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 Client(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)
class Completions:
def __init__(self, client: Client, provider: ProviderType = None):
self.client: Client = client
self.provider: ProviderType = provider
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
) -> IterResponse:
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.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 asyncio.iscoroutinefunction(provider.create_completion):
# Run the asynchronous function in an event loop
response = asyncio.run(response)
if stream and hasattr(response, '__aiter__'):
# It's an async generator, wrap it into a sync iterator
response = to_sync_iter(response)
elif 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)
if stream:
return response
else:
return next(response)
class Chat:
completions: Completions
def __init__(self, client: Client, provider: ProviderType = None):
self.completions = Completions(client, provider)
class Images:
def __init__(self, client: Client, provider: ProviderType = None):
self.client: Client = client
self.provider: ProviderType = provider
self.models: ImageModels = ImageModels(client)
def generate(self, prompt: str, model: str = None, provider: ProviderType = None, response_format: str = "url", proxy: str = None, **kwargs) -> ImagesResponse:
"""
Synchronous generate method that runs the async_generate method in an event loop.
"""
return asyncio.run(self.async_generate(prompt, model, provider, response_format=response_format, proxy=proxy, **kwargs))
async def async_generate(self, prompt: str, model: str = None, provider: ProviderType = None, response_format: str = "url", proxy: str = None, **kwargs) -> ImagesResponse:
if provider is None:
provider_handler = self.models.get(model, provider or self.provider or BingCreateImages)
elif isinstance(provider, str):
provider_handler = convert_to_provider(provider)
if provider_handler is None:
raise ValueError(f"Unknown model: {model}")
if proxy is None:
proxy = self.client.proxy
if isinstance(provider_handler, IterListProvider):
if provider_handler.providers:
provider_handler = provider.providers[0]
else:
raise ValueError(f"IterListProvider for model {model} has no providers")
response = None
if hasattr(provider_handler, "create_async_generator"):
messages = [{"role": "user", "content": prompt}]
async for item in provider_handler.create_async_generator(model, messages, **kwargs):
if isinstance(item, ImageResponse):
response = item
break
elif hasattr(provider, 'create'):
if asyncio.iscoroutinefunction(provider_handler.create):
response = await provider_handler.create(prompt)
else:
response = provider_handler.create(prompt)
if isinstance(response, str):
response = ImageResponse([response], prompt)
else:
raise ValueError(f"Provider {provider} does not support image generation")
if isinstance(response, ImageResponse):
return await self._process_image_response(response, response_format, proxy, model=model, provider=provider)
raise NoImageResponseError(f"Unexpected response type: {type(response)}")
async def _process_image_response(self, response: ImageResponse, response_format: str, proxy: str = None, model: str = None, provider: str = None) -> ImagesResponse:
async def process_image_item(session: aiohttp.ClientSession, image_data: str):
if image_data.startswith('http://') or image_data.startswith('https://'):
if response_format == "url":
return Image(url=image_data, revised_prompt=response.alt)
elif response_format == "b64_json":
# Fetch the image data and convert it to base64
image_content = await self._fetch_image(session, image_data)
file_name = self._save_image(image_data_bytes)
b64_json = base64.b64encode(image_content).decode('utf-8')
return Image(b64_json=b64_json, url=file_name, revised_prompt=response.alt)
else:
# 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
base64_data = image_data.split(',', 1)[-1]
else:
base64_data = image_data
# Decode the base64 data
image_data_bytes = base64.b64decode(base64_data)
# Convert bytes to an image
file_name = self._save_image(image_data_bytes)
return Image(url=file_name, revised_prompt=response.alt)
elif response_format == "b64_json":
if isinstance(image_data, bytes):
file_name = self._save_image(image_data_bytes)
b64_json = base64.b64encode(image_data).decode('utf-8')
else:
b64_json = image_data # If already base64-encoded string
return Image(b64_json=b64_json, url=file_name, revised_prompt=response.alt)
last_provider = get_last_provider(True)
async with aiohttp.ClientSession(cookies=response.get("cookies"), connector=get_connector(proxy=proxy)) as session:
return ImagesResponse(
await asyncio.gather(*[process_image_item(session, image_data) for image_data in response.get_list()]),
model=last_provider.get("model") if model is None else model,
provider=last_provider.get("name") if provider is None else provider
)
async def _fetch_image(self, session: aiohttp.ClientSession, url: str) -> bytes:
# Asynchronously fetch image data from the URL
async with session.get(url) as resp:
if resp.status == 200:
return await resp.read()
else:
raise RuntimeError(f"Failed to fetch image from {url}, status code {resp.status}")
def _save_image(self, image_data_bytes: bytes) -> str:
os.makedirs('generated_images', exist_ok=True)
image = to_image(image_data_bytes)
file_name = f"generated_images/image_{int(time.time())}_{random.randint(0, 10000)}.{EXTENSIONS_MAP[is_accepted_format(image_data_bytes)]}"
image.save(file_name)
return file_name
def create_variation(self, image: Union[str, bytes], model: str = None, provider: ProviderType = None, response_format: str = "url", **kwargs) -> ImagesResponse:
return asyncio.run(self.async_create_variation(
image, model, provider, response_format, **kwargs
))
async def async_create_variation(self, image: Union[str, bytes], model: str = None, provider: ProviderType = None, response_format: str = "url", proxy: str = None, **kwargs) -> ImagesResponse:
if provider is None:
provider = self.models.get(model, provider or self.provider or BingCreateImages)
if provider is None:
raise ValueError(f"Unknown model: {model}")
if isinstance(provider, str):
provider = convert_to_provider(provider)
if proxy is None:
proxy = self.client.proxy
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, response_format=response_format, proxy=proxy, **kwargs)
async for response in generator:
if isinstance(response, ImageResponse):
return self._process_image_response(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, model=model, response_format=response_format, proxy=proxy, **kwargs)
else:
response = provider.create_variation(image, model=model, response_format=response_format, proxy=proxy, **kwargs)
if isinstance(response, str):
response = ImageResponse([response])
return self._process_image_response(response)
else:
raise ValueError(f"Provider {provider} does not support image variation")
class AsyncClient(BaseClient):
def __init__(
self,
provider: ProviderType = None,
image_provider: ImageProvider = None,
**kwargs
) -> None:
super().__init__(**kwargs)
self.chat: AsyncChat = AsyncChat(self, provider)
self.images: AsyncImages = AsyncImages(self, image_provider)
class AsyncChat:
completions: AsyncCompletions
def __init__(self, client: AsyncClient, provider: ProviderType = None):
self.completions = AsyncCompletions(client, provider)
class AsyncCompletions:
def __init__(self, client: AsyncClient, provider: ProviderType = None):
self.client: AsyncClient = client
self.provider: ProviderType = provider
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[Coroutine[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.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 not isinstance(response, AsyncIterator):
response = to_async_iterator(response)
response = async_iter_response(response, stream, response_format, max_tokens, stop)
response = async_iter_append_model_and_provider(response)
return response if stream else anext(response)
class AsyncImages(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, provider: ProviderType = None, response_format: str = "url", **kwargs) -> ImagesResponse:
return await self.async_generate(prompt, model, provider, response_format, **kwargs)
async def create_variation(self, image: Union[str, bytes], model: str = None, provider: ProviderType = None, response_format: str = "url", **kwargs) -> ImagesResponse:
return await self.async_create_variation(
image, model, provider, response_format, **kwargs
)