1 files changed, 75 insertions, 0 deletions
diff --git a/g4f/Provider/ChatifyAI.py b/g4f/Provider/ChatifyAI.py
new file mode 100644
index 00000000..c5b4a104
--- /dev/null
+++ b/g4f/Provider/ChatifyAI.py
@@ -0,0 +1,75 @@
+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]
+
+    @classmethod
+    def get_model(cls, model: str) -> str:
+        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()
+                
+                # Фільтруємо та форматуємо відповідь
+                filtered_response = cls.filter_response(response_text)
+                yield filtered_response
+
+    @staticmethod
+    def filter_response(response_text: str) -> str:
+        # Розділяємо рядок на частини
+        parts = response_text.split('"')
+        
+        # Вибираємо лише текстові частини (кожна друга частина)
+        text_parts = parts[1::2]
+        
+        # Об'єднуємо текстові частини
+        clean_text = ''.join(text_parts)
+        
+        return clean_text