import uuid, 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 = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs: Any,
) -> CreateResult:
conversation = ''
for message in messages:
conversation += '%s: %s\n' % (message['role'], message['content'])
conversation += 'assistant: '
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['proxy'] if 'proxy' in kwargs else {})
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})"
