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from __future__ import annotations
from aiohttp import ClientSession
import json
from ...typing import AsyncResult, Messages
from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ..helper import format_prompt
class NexraQwen(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Qwen"
url = "https://nexra.aryahcr.cc/documentation/qwen/en"
api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
working = True
supports_stream = True
default_model = 'qwen'
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,
stream: bool = False,
markdown: bool = False,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
headers = {
"Content-Type": "application/json",
"accept": "application/json",
"origin": cls.url,
"referer": f"{cls.url}/chat",
}
async with ClientSession(headers=headers) as session:
prompt = format_prompt(messages)
data = {
"messages": [
{
"role": "user",
"content": prompt
}
],
"markdown": markdown,
"stream": stream,
"model": model
}
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
response.raise_for_status()
complete_message = ""
# If streaming, process each chunk separately
if stream:
async for chunk in response.content.iter_any():
if chunk:
try:
# Decode the chunk and split by the delimiter
parts = chunk.decode('utf-8').split('\x1e')
for part in parts:
if part.strip(): # Ensure the part is not empty
response_data = json.loads(part)
message_part = response_data.get('message')
if message_part:
complete_message = message_part
except json.JSONDecodeError:
continue
# Yield the final complete message
if complete_message:
yield complete_message
else:
# Handle non-streaming response
text_response = await response.text()
response_data = json.loads(text_response)
message = response_data.get('message')
if message:
yield message
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