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-rw-r--r--g4f/Provider/Editee.py77
1 files changed, 0 insertions, 77 deletions
diff --git a/g4f/Provider/Editee.py b/g4f/Provider/Editee.py
deleted file mode 100644
index 8ac2324a..00000000
--- a/g4f/Provider/Editee.py
+++ /dev/null
@@ -1,77 +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 Editee(AsyncGeneratorProvider, ProviderModelMixin):
- label = "Editee"
- url = "https://editee.com"
- api_endpoint = "https://editee.com/submit/chatgptfree"
- working = True
- supports_stream = True
- supports_system_message = True
- supports_message_history = True
-
- default_model = 'claude'
- models = ['claude', 'gpt4', 'gemini' 'mistrallarge']
-
- model_aliases = {
- "claude-3.5-sonnet": "claude",
- "gpt-4o": "gpt4",
- "gemini-pro": "gemini",
- "mistral-large": "mistrallarge",
- }
-
- @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": "application/json, text/plain, */*",
- "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}/chat-gpt",
- "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',
- "X-Requested-With": 'XMLHttpRequest',
- }
-
- async with ClientSession(headers=headers) as session:
- prompt = format_prompt(messages)
- data = {
- "user_input": prompt,
- "context": " ",
- "template_id": "",
- "selected_model": model
- }
- async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
- response.raise_for_status()
- response_data = await response.json()
- yield response_data['text']