mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-25 04:01:52 +03:00
92 lines
3.1 KiB
Python
92 lines
3.1 KiB
Python
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 Upstage(AsyncGeneratorProvider, ProviderModelMixin):
|
|
url = "https://console.upstage.ai/playground/chat"
|
|
api_endpoint = "https://ap-northeast-2.apistage.ai/v1/web/demo/chat/completions"
|
|
working = True
|
|
default_model = 'solar-pro'
|
|
models = [
|
|
'upstage/solar-1-mini-chat',
|
|
'upstage/solar-1-mini-chat-ja',
|
|
'solar-pro',
|
|
]
|
|
model_aliases = {
|
|
"solar-mini": "upstage/solar-1-mini-chat",
|
|
"solar-mini": "upstage/solar-1-mini-chat-ja",
|
|
}
|
|
|
|
@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": "*/*",
|
|
"accept-language": "en-US,en;q=0.9",
|
|
"cache-control": "no-cache",
|
|
"content-type": "application/json",
|
|
"dnt": "1",
|
|
"origin": "https://console.upstage.ai",
|
|
"pragma": "no-cache",
|
|
"priority": "u=1, i",
|
|
"referer": "https://console.upstage.ai/",
|
|
"sec-ch-ua": '"Not?A_Brand";v="99", "Chromium";v="130"',
|
|
"sec-ch-ua-mobile": "?0",
|
|
"sec-ch-ua-platform": '"Linux"',
|
|
"sec-fetch-dest": "empty",
|
|
"sec-fetch-mode": "cors",
|
|
"sec-fetch-site": "cross-site",
|
|
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36"
|
|
}
|
|
|
|
async with ClientSession(headers=headers) as session:
|
|
data = {
|
|
"stream": True,
|
|
"messages": [{"role": "user", "content": format_prompt(messages)}],
|
|
"model": model
|
|
}
|
|
|
|
async with session.post(f"{cls.api_endpoint}", json=data, proxy=proxy) as response:
|
|
response.raise_for_status()
|
|
|
|
response_text = ""
|
|
|
|
async for line in response.content:
|
|
if line:
|
|
line = line.decode('utf-8').strip()
|
|
|
|
if line.startswith("data: ") and line != "data: [DONE]":
|
|
try:
|
|
data = json.loads(line[6:])
|
|
content = data['choices'][0]['delta'].get('content', '')
|
|
if content:
|
|
response_text += content
|
|
yield content
|
|
except json.JSONDecodeError:
|
|
continue
|
|
|
|
if line == "data: [DONE]":
|
|
break
|