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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()}")
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