1 files changed, 0 insertions, 131 deletions

diff --git a/g4f/Provider/Snova.py b/g4f/Provider/Snova.py
deleted file mode 100644
index 53d8f0bd..00000000
--- a/g4f/Provider/Snova.py
+++ /dev/null
@@ -1,131 +0,0 @@
-from __future__ import annotations
-
-import json
-from typing import AsyncGenerator
-
-from aiohttp import ClientSession
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import format_prompt
-
-
-class Snova(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://fast.snova.ai"
-    api_endpoint = "https://fast.snova.ai/api/completion"
-    working = True
-    supports_stream = True
-    supports_system_message = True
-    supports_message_history = True
-    
-    default_model = 'Meta-Llama-3.1-8B-Instruct'
-    models = [
-        'Meta-Llama-3.1-8B-Instruct',
-        'Meta-Llama-3.1-70B-Instruct',
-        'Meta-Llama-3.1-405B-Instruct',
-        'Samba-CoE',
-        'ignos/Mistral-T5-7B-v1', # Error with the answer
-        'v1olet/v1olet_merged_dpo_7B',
-        'macadeliccc/WestLake-7B-v2-laser-truthy-dpo',
-    ]
-    
-    model_aliases = {
-        "llama-3.1-8b": "Meta-Llama-3.1-8B-Instruct",
-        "llama-3.1-70b": "Meta-Llama-3.1-70B-Instruct",
-        "llama-3.1-405b": "Meta-Llama-3.1-405B-Instruct",
-        
-        "mistral-7b": "ignos/Mistral-T5-7B-v1",
-        
-        "samba-coe-v0.1": "Samba-CoE",
-        "v1olet-merged-7b": "v1olet/v1olet_merged_dpo_7B",
-        "westlake-7b-v2": "macadeliccc/WestLake-7B-v2-laser-truthy-dpo",
-    }
-
-    @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
-    ) -> AsyncGenerator[str, None]:
-        model = cls.get_model(model)
-        
-        headers = {
-            "accept": "text/event-stream",
-            "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="127", "Not)A;Brand";v="99"',
-            "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/127.0.0.0 Safari/537.36"
-        }
-        async with ClientSession(headers=headers) as session:
-            data = {
-                "body": {
-                    "messages": [
-                        {
-                            "role": "system",
-                            "content": "You are a helpful assistant."
-                        },
-                        {
-                            "role": "user",
-                            "content": format_prompt(messages),
-                            "id": "1-id",
-                            "ref": "1-ref",
-                            "revision": 1,
-                            "draft": False,
-                            "status": "done",
-                            "enableRealTimeChat": False,
-                            "meta": None
-                        }
-                    ],
-                    "max_tokens": 1000,
-                    "stop": ["<|eot_id|>"],
-                    "stream": True,
-                    "stream_options": {"include_usage": True},
-                    "model": model
-                },
-                "env_type": "tp16"
-            }
-            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
-                response.raise_for_status()
-                full_response = ""
-                async for line in response.content:
-                    line = line.decode().strip()
-                    if line.startswith("data: "):
-                        data = line[6:]
-                        if data == "[DONE]":
-                            break
-                        try:
-                            json_data = json.loads(data)
-                            choices = json_data.get("choices", [])
-                            if choices:
-                                delta = choices[0].get("delta", {})
-                                content = delta.get("content", "")
-                                full_response += content
-                        except json.JSONDecodeError:
-                            continue
-                        except Exception as e:
-                            print(f"Error processing chunk: {e}")
-                            print(f"Problematic data: {data}")
-                            continue
-                
-                yield full_response.strip()