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-rw-r--r--g4f/Provider/AiMathGPT.py74
1 files changed, 74 insertions, 0 deletions
diff --git a/g4f/Provider/AiMathGPT.py b/g4f/Provider/AiMathGPT.py
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--- /dev/null
+++ b/g4f/Provider/AiMathGPT.py
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+from __future__ import annotations
+
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
+
+class AiMathGPT(AsyncGeneratorProvider, ProviderModelMixin):
+ url = "https://aimathgpt.forit.ai"
+ api_endpoint = "https://aimathgpt.forit.ai/api/ai"
+ working = True
+ supports_stream = False
+ supports_system_message = True
+ supports_message_history = True
+
+ default_model = 'llama3'
+ models = ['llama3']
+
+ model_aliases = {"llama-3.1-70b": "llama3",}
+
+ @classmethod
+ def get_model(cls, model: str) -> str:
+ if model in cls.models:
+ return model
+ elif model in cls.model_aliases:
+ return cls.model_aliases[model]
+ else:
+ return cls.default_model
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ model = cls.get_model(model)
+
+ headers = {
+ 'accept': '*/*',
+ 'accept-language': 'en-US,en;q=0.9',
+ 'cache-control': 'no-cache',
+ 'content-type': 'application/json',
+ 'origin': cls.url,
+ 'pragma': 'no-cache',
+ 'priority': 'u=1, i',
+ 'referer': f'{cls.url}/',
+ 'sec-ch-ua': '"Chromium";v="129", "Not=A?Brand";v="8"',
+ 'sec-ch-ua-mobile': '?0',
+ 'sec-ch-ua-platform': '"Linux"',
+ 'sec-fetch-dest': 'empty',
+ 'sec-fetch-mode': 'cors',
+ 'sec-fetch-site': 'same-origin',
+ 'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36'
+ }
+
+ async with ClientSession(headers=headers) as session:
+ data = {
+ "messages": [
+ {
+ "role": "user",
+ "content": format_prompt(messages)
+ }
+ ],
+ "model": model
+ }
+
+ async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+ response.raise_for_status()
+ response_data = await response.json()
+ filtered_response = response_data['result']['response']
+ yield filtered_response