mirror of
https://github.com/xtekky/gpt4free.git
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65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
from __future__ import annotations
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import json
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from aiohttp import ClientSession, FormData
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from ..typing import AsyncResult, Messages, MediaListType
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from ..requests.raise_for_status import raise_for_status
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from ..image import to_bytes, is_accepted_format
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from .helper import format_prompt
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class Dynaspark(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://dynaspark.onrender.com"
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login_url = None
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api_endpoint = "https://dynaspark.onrender.com/generate_response"
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working = True
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needs_auth = False
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use_nodriver = True
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supports_stream = True
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supports_system_message = False
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supports_message_history = False
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default_model = 'gemini-1.5-flash'
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default_vision_model = default_model
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vision_models = [default_vision_model, 'gemini-1.5-flash-8b', 'gemini-2.0-flash', 'gemini-2.0-flash-lite']
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models = vision_models
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model_aliases = {
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"gemini-1.5-flash": "gemini-1.5-flash-8b",
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"gemini-2.0-flash": "gemini-2.0-flash-lite",
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}
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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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proxy: str = None,
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media: MediaListType = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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'accept': '*/*',
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'accept-language': 'en-US,en;q=0.9',
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'origin': 'https://dynaspark.onrender.com',
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'referer': 'https://dynaspark.onrender.com/',
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'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36',
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'x-requested-with': 'XMLHttpRequest'
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}
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async with ClientSession(headers=headers) as session:
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form = FormData()
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form.add_field('user_input', format_prompt(messages))
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form.add_field('ai_model', model)
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if media is not None and len(media) > 0:
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image, image_name = media[0]
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image_bytes = to_bytes(image)
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form.add_field('file', image_bytes, filename=image_name, content_type=is_accepted_format(image_bytes))
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async with session.post(f"{cls.api_endpoint}", data=form, proxy=proxy) as response:
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await raise_for_status(response)
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response_text = await response.text()
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response_json = json.loads(response_text)
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yield response_json["response"]
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