mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-23 19:11:48 +03:00
bbb858249b
- **Cloudflare Provider**: Added error handling for missing requirements when fetching arguments. - **Copilot Provider**: Updated the prompt formatting to use a maximum length function, improving message handling. - **PollinationsAI Provider**: Adjusted the prompt length to a maximum of 5000 characters. - **GitHub Copilot Provider**: Updated to use `ClientSession` for better session management. - **CSS Updates**: Enhanced the gradient styling in the GUI for a more visually appealing interface. - **JavaScript Updates**: Added functionality to toggle search options in the chat interface.
109 lines
4.3 KiB
Python
109 lines
4.3 KiB
Python
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_max_length
|
|
|
|
class PollinationsAI(OpenaiAPI):
|
|
label = "Pollinations AI"
|
|
url = "https://pollinations.ai"
|
|
working = True
|
|
needs_auth = False
|
|
supports_stream = True
|
|
api_base = "https://text.pollinations.ai/openai"
|
|
|
|
default_model = "openai"
|
|
additional_models_image = ["midjourney", "dall-e-3"]
|
|
additional_models_text = ["sur", "sur-mistral", "claude"]
|
|
model_aliases = {
|
|
"gpt-4o": "openai",
|
|
"mistral-nemo": "mistral",
|
|
"llama-3.1-70b": "llama", #
|
|
"gpt-4": "searchgpt",
|
|
"gpt-4": "claude",
|
|
"qwen-2.5-coder-32b": "qwen-coder",
|
|
"claude-3.5-sonnet": "sur",
|
|
}
|
|
|
|
headers = {
|
|
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36"
|
|
}
|
|
|
|
@classmethod
|
|
def get_models(cls, **kwargs):
|
|
if not hasattr(cls, 'image_models'):
|
|
cls.image_models = []
|
|
if not cls.image_models:
|
|
url = "https://image.pollinations.ai/models"
|
|
response = requests.get(url, headers=cls.headers)
|
|
raise_for_status(response)
|
|
cls.image_models = response.json()
|
|
cls.image_models.extend(cls.additional_models_image)
|
|
if not hasattr(cls, 'models'):
|
|
cls.models = []
|
|
if not cls.models:
|
|
url = "https://text.pollinations.ai/models"
|
|
response = requests.get(url, headers=cls.headers)
|
|
raise_for_status(response)
|
|
cls.models = [model.get("name") for model in response.json()]
|
|
cls.models.extend(cls.image_models)
|
|
cls.models.extend(cls.additional_models_text)
|
|
return cls.models
|
|
|
|
@classmethod
|
|
async def create_async_generator(
|
|
cls,
|
|
model: str,
|
|
messages: Messages,
|
|
prompt: str = None,
|
|
api_key: str = None,
|
|
proxy: str = None,
|
|
seed: str = None,
|
|
width: int = 1024,
|
|
height: int = 1024,
|
|
**kwargs
|
|
) -> AsyncResult:
|
|
model = cls.get_model(model)
|
|
if model in cls.image_models:
|
|
async for response in cls._generate_image(model, messages, prompt, proxy, seed, width, height):
|
|
yield response
|
|
elif model in cls.models:
|
|
async for response in cls._generate_text(model, messages, api_key, proxy, **kwargs):
|
|
yield response
|
|
else:
|
|
raise ValueError(f"Unknown model: {model}")
|
|
|
|
@classmethod
|
|
async def _generate_image(cls, model: str, messages: Messages, prompt: str = None, proxy: str = None, seed: str = None, width: int = 1024, height: int = 1024):
|
|
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={width}&height={height}&seed={int(seed)}&nofeed=true&nologo=true&model={quote(model)}"
|
|
async with ClientSession(connector=get_connector(proxy=proxy), headers=cls.headers) as session:
|
|
async with session.get(image) as response:
|
|
await raise_for_status(response)
|
|
yield ImageResponse(image, prompt)
|
|
|
|
@classmethod
|
|
async def _generate_text(cls, model: str, messages: Messages, api_key: str = None, proxy: str = None, **kwargs):
|
|
if api_key is None:
|
|
async with ClientSession(connector=get_connector(proxy=proxy), headers=cls.headers) as session:
|
|
prompt = format_prompt_max_length(messages, 5000)
|
|
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, proxy=proxy, **kwargs
|
|
):
|
|
yield chunk |