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-rw-r--r--g4f/Provider/ChatifyAI.py79
1 files changed, 0 insertions, 79 deletions
diff --git a/g4f/Provider/ChatifyAI.py b/g4f/Provider/ChatifyAI.py
deleted file mode 100644
index 7e43b065..00000000
--- a/g4f/Provider/ChatifyAI.py
+++ /dev/null
@@ -1,79 +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 ChatifyAI(AsyncGeneratorProvider, ProviderModelMixin):
- url = "https://chatify-ai.vercel.app"
- api_endpoint = "https://chatify-ai.vercel.app/api/chat"
- working = True
- supports_stream = False
- supports_system_message = True
- supports_message_history = True
-
- default_model = 'llama-3.1'
- models = [default_model]
- model_aliases = {
- "llama-3.1-8b": "llama-3.1",
- }
-
- @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.get(model, cls.default_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)}]
- }
- async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
- response.raise_for_status()
- response_text = await response.text()
-
- filtered_response = cls.filter_response(response_text)
- yield filtered_response
-
- @staticmethod
- def filter_response(response_text: str) -> str:
- parts = response_text.split('"')
-
- text_parts = parts[1::2]
-
- clean_text = ''.join(text_parts)
-
- return clean_text