gpt4free/g4f/client.py

from __future__ import annotations

import re
import os

from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
from .typing import Union, Generator, Messages, ImageType
from .providers.types import BaseProvider, ProviderType
from .image import ImageResponse as ImageProviderResponse
from .Provider.BingCreateImages import BingCreateImages
from .Provider.needs_auth import Gemini, OpenaiChat
from .errors import NoImageResponseError
from . import get_model_and_provider

ImageProvider = Union[BaseProvider, object]
Proxies = Union[dict, str]

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,
    stream: bool,
    response_format: dict = None,
    max_tokens: int = None,
    stop: list = None
) -> Generator:
    content = ""
    finish_reason = None
    last_chunk = None
    for idx, chunk in enumerate(response):
        if last_chunk is not None:
            yield ChatCompletionChunk(last_chunk, finish_reason)
        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:
            last_chunk = chunk
        if finish_reason is not None:
            break
    if last_chunk is not None:
        yield ChatCompletionChunk(last_chunk, finish_reason)
    if not stream:
        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)

class Client():
    proxies: Proxies = None
    chat: Chat
    images: Images

    def __init__(
        self,
        provider: ProviderType = None,
        image_provider: ImageProvider = None,
        proxies: Proxies = None,
        **kwargs
    ) -> None:
        self.chat = Chat(self, provider)
        self.images = Images(self, image_provider)
        self.proxies: Proxies = proxies

    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"]

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] = None,
        **kwargs
    ) -> Union[ChatCompletion, Generator[ChatCompletionChunk]]:
        if max_tokens is not None:
            kwargs["max_tokens"] = max_tokens
        if stop:
            kwargs["stop"] = stop
        model, provider = get_model_and_provider(
            model,
            self.provider if provider is None else provider,
            stream,
            **kwargs
        )
        response = provider.create_completion(model, messages, stream=stream, proxy=self.client.get_proxy(), **kwargs)
        stop = [stop] if isinstance(stop, str) else stop
        response = iter_response(response, stream, response_format, max_tokens, stop)
        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

    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

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):
        provider = self.models.get(model, self.provider)
        if isinstance(provider, BaseProvider) or isinstance(provider, type) and issubclass(provider, BaseProvider):
            prompt = f"create a image: {prompt}"
            response = provider.create_completion(
                "",
                [{"role": "user", "content": prompt}],
                True,
                proxy=self.client.get_proxy(),
                **kwargs
            )
        else:
            response = provider.create(prompt)

        for chunk in response:
            if isinstance(chunk, ImageProviderResponse):
                images = [chunk.images] if isinstance(chunk.images, str) else chunk.images
                return ImagesResponse([Image(image) for image in images])
        raise NoImageResponseError()

    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