1 files changed, 66 insertions, 0 deletions

diff --git a/g4f/Provider/nexra/NexraChatGPT.py b/g4f/Provider/nexra/NexraChatGPT.py
new file mode 100644
index 00000000..8ed83f98
--- /dev/null
+++ b/g4f/Provider/nexra/NexraChatGPT.py
@@ -0,0 +1,66 @@
+from __future__ import annotations
+from aiohttp import ClientSession
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+import json
+
+class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin):
+    label = "Nexra ChatGPT"
+    api_endpoint = "https://nexra.aryahcr.cc/api/chat/gpt"
+
+    models = [
+        'gpt-4', 'gpt-4-0613', 'gpt-4-32k', 'gpt-4-0314', 'gpt-4-32k-0314',
+        'gpt-3.5-turbo', 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 
+        'gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-0301',
+        'gpt-3', 'text-davinci-003', 'text-davinci-002', 'code-davinci-002',
+        'text-curie-001', 'text-babbage-001', 'text-ada-001',
+        'davinci', 'curie', 'babbage', 'ada', 'babbage-002', 'davinci-002',
+    ]
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "Accept": "application/json",
+            "Content-Type": "application/json",
+            "Referer": f"{cls.url}/chat",
+        }
+
+        async with ClientSession(headers=headers) as session:
+            prompt = format_prompt(messages)
+            data = {
+                "prompt": prompt,
+                "model": model,
+                "markdown": False,
+                "messages": messages or [],
+            }
+
+            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+
+                content_type = response.headers.get('Content-Type', '')
+                if 'application/json' in content_type:
+                    result = await response.json()
+                    if result.get("status"):
+                        yield result.get("gpt", "")
+                    else:
+                        raise Exception(f"Error in response: {result.get('message', 'Unknown error')}")
+                elif 'text/plain' in content_type:
+                    text = await response.text()
+                    try:
+                        result = json.loads(text)
+                        if result.get("status"):
+                            yield result.get("gpt", "")
+                        else:
+                            raise Exception(f"Error in response: {result.get('message', 'Unknown error')}")
+                    except json.JSONDecodeError:
+                        yield text  # If not JSON, return text
+                else:
+                    raise Exception(f"Unexpected response type: {content_type}. Response text: {await response.text()}")
+