mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-05 00:01:00 +00:00
240 lines
8.4 KiB
Python
240 lines
8.4 KiB
Python
from __future__ import annotations
|
|
|
|
import re
|
|
import os
|
|
import time
|
|
import random
|
|
import string
|
|
|
|
from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
|
|
from .typing import Union, Iterator, Messages, ImageType
|
|
from .providers.types import BaseProvider, ProviderType
|
|
from .image import ImageResponse as ImageProviderResponse
|
|
from .errors import NoImageResponseError, RateLimitError, MissingAuthError
|
|
from . import get_model_and_provider, get_last_provider
|
|
|
|
from .Provider.BingCreateImages import BingCreateImages
|
|
from .Provider.needs_auth import Gemini, OpenaiChat
|
|
from .Provider.You import You
|
|
|
|
ImageProvider = Union[BaseProvider, object]
|
|
Proxies = Union[dict, str]
|
|
IterResponse = Iterator[Union[ChatCompletion, ChatCompletionChunk]]
|
|
|
|
def read_json(text: str) -> dict:
|
|
"""
|
|
Parses JSON code block from a string.
|
|
|
|
Args:
|
|
text (str): A string containing a JSON code block.
|
|
|
|
Returns:
|
|
dict: A dictionary parsed from the JSON code block.
|
|
"""
|
|
match = re.search(r"```(json|)\n(?P<code>[\S\s]+?)\n```", text)
|
|
if match:
|
|
return match.group("code")
|
|
return text
|
|
|
|
def iter_response(
|
|
response: iter[str],
|
|
stream: bool,
|
|
response_format: dict = None,
|
|
max_tokens: int = None,
|
|
stop: list = None
|
|
) -> IterResponse:
|
|
content = ""
|
|
finish_reason = None
|
|
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
|
|
for idx, chunk in enumerate(response):
|
|
content += str(chunk)
|
|
if max_tokens is not None and idx + 1 >= max_tokens:
|
|
finish_reason = "length"
|
|
first = -1
|
|
word = None
|
|
if stop is not None:
|
|
for word in list(stop):
|
|
first = content.find(word)
|
|
if first != -1:
|
|
content = content[:first]
|
|
break
|
|
if stream and first != -1:
|
|
first = chunk.find(word)
|
|
if first != -1:
|
|
chunk = chunk[:first]
|
|
else:
|
|
first = 0
|
|
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 = read_json(content)
|
|
yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))
|
|
|
|
def iter_append_model_and_provider(response: IterResponse) -> IterResponse:
|
|
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():
|
|
|
|
def __init__(
|
|
self,
|
|
api_key: str = None,
|
|
proxies: Proxies = None,
|
|
provider: ProviderType = None,
|
|
image_provider: ImageProvider = None,
|
|
**kwargs
|
|
) -> None:
|
|
self.api_key: str = api_key
|
|
self.proxies: Proxies = proxies
|
|
self.chat: Chat = Chat(self, provider)
|
|
self.images: Images = Images(self, image_provider)
|
|
|
|
def get_proxy(self) -> Union[str, None]:
|
|
if isinstance(self.proxies, str):
|
|
return self.proxies
|
|
elif self.proxies is None:
|
|
return os.environ.get("G4F_PROXY")
|
|
elif "all" in self.proxies:
|
|
return self.proxies["all"]
|
|
elif "https" in self.proxies:
|
|
return self.proxies["https"]
|
|
|
|
def filter_none(**kwargs):
|
|
for key in list(kwargs.keys()):
|
|
if kwargs[key] is None:
|
|
del kwargs[key]
|
|
return kwargs
|
|
|
|
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,
|
|
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, Iterator[ChatCompletionChunk]]:
|
|
model, provider = get_model_and_provider(
|
|
model,
|
|
self.provider if provider is None else provider,
|
|
stream,
|
|
ignored,
|
|
ignore_working,
|
|
ignore_stream,
|
|
**kwargs
|
|
)
|
|
stop = [stop] if isinstance(stop, str) else stop
|
|
response = provider.create_completion(
|
|
model, messages, stream,
|
|
**filter_none(
|
|
proxy=self.client.get_proxy(),
|
|
max_tokens=max_tokens,
|
|
stop=stop,
|
|
api_key=self.client.api_key if api_key is None else api_key
|
|
),
|
|
**kwargs
|
|
)
|
|
response = iter_response(response, stream, response_format, max_tokens, stop)
|
|
response = iter_append_model_and_provider(response)
|
|
return response if stream else next(response)
|
|
|
|
class Chat():
|
|
completions: Completions
|
|
|
|
def __init__(self, client: Client, provider: ProviderType = None):
|
|
self.completions = Completions(client, provider)
|
|
|
|
class ImageModels():
|
|
gemini = Gemini
|
|
openai = OpenaiChat
|
|
you = You
|
|
|
|
def __init__(self, client: Client) -> None:
|
|
self.client = client
|
|
self.default = BingCreateImages(proxy=self.client.get_proxy())
|
|
|
|
def get(self, name: str, default: ImageProvider = None) -> ImageProvider:
|
|
return getattr(self, name) if hasattr(self, name) else default or self.default
|
|
|
|
def iter_image_response(response: Iterator) -> Union[ImagesResponse, None]:
|
|
for chunk in list(response):
|
|
if isinstance(chunk, ImageProviderResponse):
|
|
return ImagesResponse([Image(image) for image in chunk.get_list()])
|
|
|
|
def create_image(client: Client, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> Iterator:
|
|
prompt = f"create a image with: {prompt}"
|
|
return provider.create_completion(
|
|
model,
|
|
[{"role": "user", "content": prompt}],
|
|
True,
|
|
proxy=client.get_proxy(),
|
|
**kwargs
|
|
)
|
|
|
|
class Images():
|
|
def __init__(self, client: Client, provider: ImageProvider = None):
|
|
self.client: Client = client
|
|
self.provider: ImageProvider = provider
|
|
self.models: ImageModels = ImageModels(client)
|
|
|
|
def generate(self, prompt, model: str = None, **kwargs) -> ImagesResponse:
|
|
provider = self.models.get(model, self.provider)
|
|
if isinstance(provider, type) and issubclass(provider, BaseProvider):
|
|
response = create_image(self.client, provider, prompt, **kwargs)
|
|
else:
|
|
try:
|
|
response = list(provider.create(prompt))
|
|
except (RateLimitError, MissingAuthError) as e:
|
|
# Fallback for default provider
|
|
if self.provider is None:
|
|
response = create_image(self.client, self.models.you, prompt, model or "dall-e", **kwargs)
|
|
else:
|
|
raise e
|
|
image = iter_image_response(response)
|
|
if image is None:
|
|
raise NoImageResponseError()
|
|
return image
|
|
|
|
def create_variation(self, image: ImageType, model: str = None, **kwargs):
|
|
provider = self.models.get(model, self.provider)
|
|
result = None
|
|
if isinstance(provider, type) and issubclass(provider, BaseProvider):
|
|
response = provider.create_completion(
|
|
"",
|
|
[{"role": "user", "content": "create a image like this"}],
|
|
True,
|
|
image=image,
|
|
proxy=self.client.get_proxy(),
|
|
**kwargs
|
|
)
|
|
for chunk in response:
|
|
if isinstance(chunk, ImageProviderResponse):
|
|
result = ([chunk.images] if isinstance(chunk.images, str) else chunk.images)
|
|
result = ImagesResponse([Image(image)for image in result])
|
|
if result is None:
|
|
raise NoImageResponseError()
|
|
return result |