1 files changed, 0 insertions, 64 deletions
diff --git a/g4f/Provider/nexra/NexraChatGptWeb.py b/g4f/Provider/nexra/NexraChatGptWeb.py
deleted file mode 100644
index f82694d4..00000000
--- a/g4f/Provider/nexra/NexraChatGptWeb.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from __future__ import annotations
-
-import json
-import requests
-
-from ...typing import CreateResult, Messages
-from ..base_provider import ProviderModelMixin, AbstractProvider
-from ..helper import format_prompt
-
-class NexraChatGptWeb(AbstractProvider, ProviderModelMixin):
-    label = "Nexra ChatGPT Web"
-    url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
-    working = True
-    
-    default_model = "gptweb"
-    models = [default_model]
-    model_aliases = {"gpt-4": "gptweb"}
-    api_endpoints = {"gptweb": "https://nexra.aryahcr.cc/api/chat/gptweb"}
-
-    @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
-    def create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        markdown: bool = False,
-        **kwargs
-    ) -> CreateResult:
-        model = cls.get_model(model)
-        api_endpoint = cls.api_endpoints.get(model, cls.api_endpoints[cls.default_model])
-
-        headers = {
-            'Content-Type': 'application/json'
-        }
-        
-        data = {
-            "prompt": format_prompt(messages),
-            "markdown": markdown
-        }
-        
-        response = requests.post(api_endpoint, headers=headers, json=data)
-
-        return cls.process_response(response)
-
-    @classmethod
-    def process_response(cls, response):
-        if response.status_code == 200:
-            try:
-                content = response.text.lstrip('_')
-                json_response = json.loads(content)
-                return json_response.get('gpt', '')
-            except json.JSONDecodeError:
-                return "Error: Unable to decode JSON response"
-        else:
-            return f"Error: {response.status_code}"