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from __future__ import annotations |
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from urllib.parse import quote |
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import random |
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import requests |
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from aiohttp import ClientSession |
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from ..typing import AsyncResult, Messages |
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from ..image import ImageResponse |
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from ..requests.raise_for_status import raise_for_status |
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from ..requests.aiohttp import get_connector |
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from .needs_auth.OpenaiAPI import OpenaiAPI |
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from .helper import format_prompt |
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class PollinationsAI(OpenaiAPI): |
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label = "Pollinations.AI" |
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url = "https://pollinations.ai" |
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working = True |
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supports_stream = True |
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default_model = "openai" |
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@classmethod |
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def get_models(cls): |
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if not cls.image_models: |
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url = "https://image.pollinations.ai/models" |
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response = requests.get(url) |
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raise_for_status(response) |
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cls.image_models = response.json() |
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if not cls.models: |
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url = "https://text.pollinations.ai/models" |
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response = requests.get(url) |
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raise_for_status(response) |
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cls.models = [model.get("name") for model in response.json()] |
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cls.models.extend(cls.image_models) |
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return cls.models |
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@classmethod |
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async def create_async_generator( |
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cls, |
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model: str, |
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messages: Messages, |
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prompt: str = None, |
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api_base: str = "https://text.pollinations.ai/openai", |
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api_key: str = None, |
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proxy: str = None, |
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seed: str = None, |
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**kwargs |
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) -> AsyncResult: |
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model = cls.get_model(model) |
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if model in cls.image_models: |
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if prompt is None: |
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prompt = messages[-1]["content"] |
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if seed is None: |
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seed = random.randint(0, 100000) |
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image = f"https://image.pollinations.ai/prompt/{quote(prompt)}?width=1024&height=1024&seed={int(seed)}&nofeed=true&nologo=true&model={quote(model)}" |
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yield ImageResponse(image, prompt) |
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return |
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if api_key is None: |
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async with ClientSession(connector=get_connector(proxy=proxy)) as session: |
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prompt = format_prompt(messages) |
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async with session.get(f"https://text.pollinations.ai/{quote(prompt)}?model={quote(model)}") as response: |
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await raise_for_status(response) |
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async for line in response.content.iter_any(): |
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yield line.decode(errors="ignore") |
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else: |
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async for chunk in super().create_async_generator( |
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model, messages, api_base=api_base, proxy=proxy, **kwargs |
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): |
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yield chunk |
