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from __future__ import annotations
import uuid
import requests
from ...typing import Any, CreateResult
from ..base_provider import BaseProvider
class V50(BaseProvider):
url = 'https://p5.v50.ltd'
supports_gpt_35_turbo = True
supports_stream = False
needs_auth = False
working = False
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool, **kwargs: Any) -> CreateResult:
conversation = (
"\n".join(
f"{message['role']}: {message['content']}" for message in messages
)
+ "\nassistant: "
)
payload = {
"prompt" : conversation,
"options" : {},
"systemMessage" : ".",
"temperature" : kwargs.get("temperature", 0.4),
"top_p" : kwargs.get("top_p", 0.4),
"model" : model,
"user" : str(uuid.uuid4())
}
headers = {
'authority' : 'p5.v50.ltd',
'accept' : 'application/json, text/plain, */*',
'accept-language' : 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7',
'content-type' : 'application/json',
'origin' : 'https://p5.v50.ltd',
'referer' : 'https://p5.v50.ltd/',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest' : 'empty',
'sec-fetch-mode' : 'cors',
'sec-fetch-site' : 'same-origin',
'user-agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36'
}
response = requests.post(
"https://p5.v50.ltd/api/chat-process",
json=payload,
headers=headers,
proxies=kwargs.get('proxy', {}),
)
if "https://fk1.v50.ltd" not in response.text:
yield response.text
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("temperature", "float"),
("top_p", "int"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
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