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import json,random,requests
# from curl_cffi import requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class Theb(BaseProvider):
url = "https://theb.ai"
working = True
supports_stream = True
supports_gpt_35_turbo = True
needs_auth = 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: '
auth = kwargs.get("auth", {
"bearer_token":"free",
"org_id":"theb",
})
bearer_token = auth["bearer_token"]
org_id = auth["org_id"]
headers = {
'authority': 'beta.theb.ai',
'accept': 'text/event-stream',
'accept-language': 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7',
'authorization': 'Bearer '+bearer_token,
'content-type': 'application/json',
'origin': 'https://beta.theb.ai',
'referer': 'https://beta.theb.ai/home',
'sec-ch-ua': '"Chromium";v="116", "Not)A;Brand";v="24", "Google Chrome";v="116"',
'sec-ch-ua-mobile': '?0',
'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',
'x-ai-model': 'ee8d4f29cb7047f78cbe84313ed6ace8',
}
# generate 10 random number
# 0.1 - 0.9
req_rand = random.randint(100000000, 9999999999)
json_data: dict[str, Any] = {
"text": conversation,
"category": "04f58f64a4aa4191a957b47290fee864",
"model": "ee8d4f29cb7047f78cbe84313ed6ace8",
"model_params": {
"system_prompt": "You are ChatGPT, a large language model trained by OpenAI, based on the GPT-3.5 architecture.\nKnowledge cutoff: 2021-09\nCurrent date: {{YYYY-MM-DD}}",
"temperature": kwargs.get("temperature", 1),
"top_p": kwargs.get("top_p", 1),
"frequency_penalty": kwargs.get("frequency_penalty", 0),
"presence_penalty": kwargs.get("presence_penalty", 0),
"long_term_memory": "auto"
}
}
response = requests.post(
"https://beta.theb.ai/api/conversation?org_id="+org_id+"&req_rand="+str(req_rand),
headers=headers,
json=json_data,
stream=True,
)
response.raise_for_status()
content = ""
next_content = ""
for chunk in response.iter_lines():
if b"content" in chunk:
next_content = content
data = json.loads(chunk.decode().split("data: ")[1])
content = data["content"]
yield data["content"].replace(next_content, "")
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("auth", "list[dict[str, str]]"),
("stream", "bool"),
("temperature", "float"),
("presence_penalty", "int"),
("frequency_penalty", "int"),
("top_p", "int")
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
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