gpt4free/g4f/Provider/PollinationsAI.py

from __future__ import annotations

from urllib.parse import quote
import random
import requests
from aiohttp import ClientSession

from ..typing import AsyncResult, Messages
from ..image import ImageResponse
from ..requests.raise_for_status import raise_for_status
from ..requests.aiohttp import get_connector
from .needs_auth.OpenaiAPI import OpenaiAPI
from .helper import format_prompt

class PollinationsAI(OpenaiAPI):
    label = "Pollinations.AI"
    url = "https://pollinations.ai"
    working = True
    supports_stream = True
    default_model = "openai"

    @classmethod
    def get_models(cls):
        if not cls.image_models:
            url = "https://image.pollinations.ai/models"
            response = requests.get(url)
            raise_for_status(response)
            cls.image_models = response.json()
        if not cls.models:
            url = "https://text.pollinations.ai/models"
            response = requests.get(url)
            raise_for_status(response)
            cls.models = [model.get("name") for model in response.json()]
            cls.models.extend(cls.image_models)
        return cls.models

    @classmethod
    async def create_async_generator(
        cls,
        model: str,
        messages: Messages,
        prompt: str = None,
        api_base: str = "https://text.pollinations.ai/openai",
        api_key: str = None,
        proxy: str = None,
        seed: str = None,
        **kwargs
    ) -> AsyncResult:
        model = cls.get_model(model)
        if model in cls.image_models:
            if prompt is None:
                prompt = messages[-1]["content"]
            if seed is None:
                seed = random.randint(0, 100000)
            image = f"https://image.pollinations.ai/prompt/{quote(prompt)}?width=1024&height=1024&seed={int(seed)}&nofeed=true&nologo=true&model={quote(model)}"
            yield ImageResponse(image, prompt)
            return
        if api_key is None:
            async with ClientSession(connector=get_connector(proxy=proxy)) as session:
                prompt = format_prompt(messages)
                async with session.get(f"https://text.pollinations.ai/{quote(prompt)}?model={quote(model)}") as response:
                    await raise_for_status(response)
                    async for line in response.content.iter_any():
                        yield line.decode(errors="ignore")
        else:
            async for chunk in super().create_async_generator(
                model, messages, api_base=api_base, proxy=proxy, **kwargs
            ):
                yield chunk