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from __future__ import annotations
from aiohttp import ClientSession, ContentTypeError
import json
from ...typing import AsyncResult, Messages
from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ..helper import format_prompt
class NexraChatGptWeb(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra ChatGPT Web"
url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
api_endpoint = "https://nexra.aryahcr.cc/api/chat/{}"
working = True
supports_gpt_35_turbo = True
supports_gpt_4 = True
supports_stream = True
default_model = 'gptweb'
models = [default_model]
model_aliases = {
"gpt-4": "gptweb",
}
@classmethod
def get_model(cls, model: str) -> str:
if model in cls.models:
return model
elif model in cls.model_aliases:
return cls.model_aliases[model]
else:
return cls.default_model
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
markdown: bool = False,
**kwargs
) -> AsyncResult:
headers = {
"Content-Type": "application/json"
}
async with ClientSession(headers=headers) as session:
prompt = format_prompt(messages)
data = {
"prompt": prompt,
"markdown": markdown
}
model = cls.get_model(model)
endpoint = cls.api_endpoint.format(model)
async with session.post(endpoint, json=data, proxy=proxy) as response:
response.raise_for_status()
response_text = await response.text()
# Remove leading underscore if present
if response_text.startswith('_'):
response_text = response_text[1:]
try:
response_data = json.loads(response_text)
yield response_data.get('gpt', response_text)
except json.JSONDecodeError:
yield response_text
|
