gpt4free/g4f/Provider/Bixin123.py

90 lines
3.0 KiB
Python

from __future__ import annotations
from aiohttp import ClientSession
import json
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ..typing import AsyncResult, Messages
from .helper import format_prompt
class Bixin123(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://chat.bixin123.com"
api_endpoint = "https://chat.bixin123.com/api/chatgpt/chat-process"
working = True
supports_gpt_35_turbo = True
supports_gpt_4 = True
default_model = 'gpt-3.5-turbo-0125'
models = ['gpt-3.5-turbo-0125', 'gpt-3.5-turbo-16k-0613', 'gpt-4-turbo', 'qwen-turbo']
model_aliases = {
"gpt-3.5-turbo": "gpt-3.5-turbo-0125",
"gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613",
}
@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,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
headers = {
"accept": "application/json, text/plain, */*",
"accept-language": "en-US,en;q=0.9",
"cache-control": "no-cache",
"content-type": "application/json",
"fingerprint": "988148794",
"origin": cls.url,
"pragma": "no-cache",
"priority": "u=1, i",
"referer": f"{cls.url}/chat",
"sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36",
"x-website-domain": "chat.bixin123.com",
}
async with ClientSession(headers=headers) as session:
prompt = format_prompt(messages)
data = {
"prompt": prompt,
"options": {
"usingNetwork": False,
"file": ""
}
}
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
response.raise_for_status()
response_text = await response.text()
lines = response_text.strip().split("\n")
last_json = None
for line in reversed(lines):
try:
last_json = json.loads(line)
break
except json.JSONDecodeError:
pass
if last_json:
text = last_json.get("text", "")
yield text
else:
yield ""