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-rw-r--r--g4f/Provider/Editee.py78
1 files changed, 78 insertions, 0 deletions
diff --git a/g4f/Provider/Editee.py b/g4f/Provider/Editee.py
new file mode 100644
index 00000000..6d297169
--- /dev/null
+++ b/g4f/Provider/Editee.py
@@ -0,0 +1,78 @@
+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_gpt_4 = 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']