summaryrefslogtreecommitdiffstats
path: root/g4f/Provider/nexra/NexraChatGPT.py
diff options
context:
space:
mode:
Diffstat (limited to '')
-rw-r--r--g4f/Provider/nexra/NexraChatGPT.py66
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()}")
+