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-rw-r--r--g4f/Provider/AiMathGPT.py74
-rw-r--r--g4f/Provider/__init__.py1
-rw-r--r--g4f/models.py4
3 files changed, 1 insertions, 78 deletions
diff --git a/g4f/Provider/AiMathGPT.py b/g4f/Provider/AiMathGPT.py
deleted file mode 100644
index 90931691..00000000
--- a/g4f/Provider/AiMathGPT.py
+++ /dev/null
@@ -1,74 +0,0 @@
-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
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 368c4a25..60942581 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -13,7 +13,6 @@ from .local import *
from .AIUncensored import AIUncensored
from .Allyfy import Allyfy
-from .AiMathGPT import AiMathGPT
from .Airforce import Airforce
from .Bing import Bing
from .Blackbox import Blackbox
diff --git a/g4f/models.py b/g4f/models.py
index 87a076a8..8ce3688e 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -6,7 +6,6 @@ from .Provider import IterListProvider, ProviderType
from .Provider import (
Ai4Chat,
AIChatFree,
- AiMathGPT,
Airforce,
AIUncensored,
Allyfy,
@@ -81,7 +80,6 @@ default = Model(
ChatGptEs,
ChatifyAI,
Cloudflare,
- AiMathGPT,
AIUncensored,
DarkAI,
])
@@ -184,7 +182,7 @@ llama_3_1_8b = Model(
llama_3_1_70b = Model(
name = "llama-3.1-70b",
base_provider = "Meta Llama",
- best_provider = IterListProvider([DDG, DeepInfraChat, Blackbox, TeachAnything, DarkAI, AiMathGPT, Airforce, RubiksAI, HuggingChat, HuggingFace, PerplexityLabs])
+ best_provider = IterListProvider([DDG, DeepInfraChat, Blackbox, TeachAnything, DarkAI, Airforce, RubiksAI, HuggingChat, HuggingFace, PerplexityLabs])
)
llama_3_1_405b = Model(