From 752cae2b59fd7c3dc484ffe233aa924b17923704 Mon Sep 17 00:00:00 2001
From: kqlio67 <kqlio67@users.noreply.github.com>
Date: Mon, 21 Oct 2024 21:22:07 +0300
Subject: Restored providers (g4f/Provider/nexra/NexraChatGptWeb.py)

---
 g4f/Provider/nexra/NexraChatGptWeb.py | 77 ++++++++++++++++-------------------
 1 file changed, 36 insertions(+), 41 deletions(-)

(limited to 'g4f/Provider')

diff --git a/g4f/Provider/nexra/NexraChatGptWeb.py b/g4f/Provider/nexra/NexraChatGptWeb.py
index 6c4e3b06..653c8904 100644
--- a/g4f/Provider/nexra/NexraChatGptWeb.py
+++ b/g4f/Provider/nexra/NexraChatGptWeb.py
@@ -1,27 +1,21 @@
 from __future__ import annotations
 
-from aiohttp import ClientSession, ContentTypeError
 import json
+import requests
 
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ...typing import CreateResult, Messages
+from ..base_provider import ProviderModelMixin, AbstractProvider
 from ..helper import format_prompt
 
-
-class NexraChatGptWeb(AsyncGeneratorProvider, ProviderModelMixin):
+class NexraChatGptWeb(AbstractProvider, ProviderModelMixin):
     label = "Nexra ChatGPT Web"
     url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
-    api_endpoint = "https://nexra.aryahcr.cc/api/chat/{}"
-    working = False
-    supports_stream = True
+    working = True
     
-    default_model = 'gptweb'
+    default_model = "gptweb"
     models = [default_model]
-    
-    model_aliases = {
-        "gpt-4": "gptweb",
-    }
-
+    model_aliases = {"gpt-4": "gptweb"}
+    api_endpoints = {"gptweb": "https://nexra.aryahcr.cc/api/chat/gptweb"}
 
     @classmethod
     def get_model(cls, model: str) -> str:
@@ -31,37 +25,38 @@ class NexraChatGptWeb(AsyncGeneratorProvider, ProviderModelMixin):
             return cls.model_aliases[model]
         else:
             return cls.default_model
-
+            
     @classmethod
-    async def create_async_generator(
+    def create_completion(
         cls,
         model: str,
         messages: Messages,
-        proxy: str = None,
-        markdown: bool = False,
         **kwargs
-    ) -> AsyncResult:
+    ) -> CreateResult:
+        model = cls.get_model(model)
+        api_endpoint = cls.api_endpoints.get(model, cls.api_endpoints[cls.default_model])
+
         headers = {
-            "Content-Type": "application/json"
+            'Content-Type': 'application/json'
         }
-        async with ClientSession(headers=headers) as session:
-            prompt = format_prompt(messages)
-            data = {
-                "prompt": prompt,
-                "markdown": markdown
-            }
-            model = cls.get_model(model)
-            endpoint = cls.api_endpoint.format(model)
-            async with session.post(endpoint, json=data, proxy=proxy) as response:
-                response.raise_for_status()
-                response_text = await response.text()
-                
-                # Remove leading underscore if present
-                if response_text.startswith('_'):
-                    response_text = response_text[1:]
-                
-                try:
-                    response_data = json.loads(response_text)
-                    yield response_data.get('gpt', response_text)
-                except json.JSONDecodeError:
-                    yield response_text
+        
+        data = {
+            "prompt": format_prompt(messages),
+            "markdown": False
+        }
+        
+        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}"
-- 
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