1 files changed, 87 insertions, 0 deletions

diff --git a/g4f/Provider/DarkAI.py b/g4f/Provider/DarkAI.py
new file mode 100644
index 00000000..d5bd86a5
--- /dev/null
+++ b/g4f/Provider/DarkAI.py
@@ -0,0 +1,87 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
+
+
+class DarkAI(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://www.aiuncensored.info"
+    api_endpoint = "https://darkai.foundation/chat"
+    working = True
+    supports_gpt_35_turbo = True
+    supports_gpt_4 = True
+    supports_stream = True
+    supports_system_message = True
+    supports_message_history = True
+    
+    default_model = 'gpt-4o'
+    models = [
+         default_model, # Uncensored
+         'gpt-3.5-turbo', # Uncensored
+         'llama-3-70b', # Uncensored
+         'llama-3-405b',
+    ]
+    
+    model_aliases = {
+        "llama-3.1-70b": "llama-3-70b",
+        "llama-3.1-405b": "llama-3-405b",
+    }
+
+    @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": "text/event-stream",
+            "content-type": "application/json",
+            "origin": "https://www.aiuncensored.info",
+            "referer": "https://www.aiuncensored.info/",
+            "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36"
+        }
+        async with ClientSession(headers=headers) as session:
+            prompt = format_prompt(messages)
+            data = {
+                "query": prompt,
+                "model": model,
+            }
+            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                full_text = ""
+                async for chunk in response.content:
+                    if chunk:
+                        try:
+                            chunk_str = chunk.decode().strip()
+                            if chunk_str.startswith('data: '):
+                                chunk_data = json.loads(chunk_str[6:])
+                                if chunk_data['event'] == 'text-chunk':
+                                    full_text += chunk_data['data']['text']
+                                elif chunk_data['event'] == 'stream-end':
+                                    if full_text:
+                                        yield full_text.strip()
+                                    return
+                        except json.JSONDecodeError:
+                            print(f"Failed to decode JSON: {chunk_str}")
+                        except Exception as e:
+                            print(f"Error processing chunk: {e}")
+                
+                if full_text:
+                    yield full_text.strip()