mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-27 13:42:19 +03:00
96 lines
3.6 KiB
Python
96 lines
3.6 KiB
Python
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})" |