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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 NexraChatGPT4o(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra ChatGPT4o"
url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
working = True
supports_gpt_4 = True
supports_stream = False
default_model = 'gpt-4o'
models = [default_model]
@classmethod
def get_model(cls, model: str) -> str:
return cls.default_model
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
headers = {
"Content-Type": "application/json",
}
async with ClientSession(headers=headers) as session:
data = {
"messages": [
{
"role": "user",
"content": format_prompt(messages)
}
],
"stream": False,
"markdown": False,
"model": model
}
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
response.raise_for_status()
buffer = ""
last_message = ""
async for chunk in response.content.iter_any():
chunk_str = chunk.decode()
buffer += chunk_str
while '{' in buffer and '}' in buffer:
start = buffer.index('{')
end = buffer.index('}', start) + 1
json_str = buffer[start:end]
buffer = buffer[end:]
try:
json_obj = json.loads(json_str)
if json_obj.get("finish"):
if last_message:
yield last_message
return
elif json_obj.get("message"):
last_message = json_obj["message"]
except json.JSONDecodeError:
pass
if last_message:
yield last_message
|
