mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-24 01:36:37 +03:00
117 lines
3.5 KiB
Python
117 lines
3.5 KiB
Python
import hashlib
|
|
import json
|
|
import time
|
|
import uuid
|
|
from datetime import datetime
|
|
|
|
import requests
|
|
|
|
from ..typing import SHA256, Any, CreateResult
|
|
from .base_provider import BaseProvider
|
|
|
|
|
|
class Ails(BaseProvider):
|
|
url: str = "https://ai.ls"
|
|
working = True
|
|
supports_stream = True
|
|
supports_gpt_35_turbo = True
|
|
|
|
@staticmethod
|
|
def create_completion(
|
|
model: str,
|
|
messages: list[dict[str, str]],
|
|
stream: bool,
|
|
**kwargs: Any,
|
|
) -> CreateResult:
|
|
headers = {
|
|
"authority": "api.caipacity.com",
|
|
"accept": "*/*",
|
|
"accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
|
|
"authorization": "Bearer free",
|
|
"client-id": str(uuid.uuid4()),
|
|
"client-v": _get_client_v(),
|
|
"content-type": "application/json",
|
|
"origin": "https://ai.ls",
|
|
"referer": "https://ai.ls/",
|
|
"sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
|
|
"sec-ch-ua-mobile": "?0",
|
|
"sec-ch-ua-platform": '"Windows"',
|
|
"sec-fetch-dest": "empty",
|
|
"sec-fetch-mode": "cors",
|
|
"sec-fetch-site": "cross-site",
|
|
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
|
|
}
|
|
|
|
timestamp = _format_timestamp(int(time.time() * 1000))
|
|
sig = {
|
|
"d": datetime.now().strftime("%Y-%m-%d"),
|
|
"t": timestamp,
|
|
"s": _hash({"t": timestamp, "m": messages[-1]["content"]}),
|
|
}
|
|
|
|
json_data = json.dumps(
|
|
separators=(",", ":"),
|
|
obj={
|
|
"model": "gpt-3.5-turbo",
|
|
"temperature": kwargs.get("temperature", 0.6),
|
|
"stream": True,
|
|
"messages": messages,
|
|
}
|
|
| sig,
|
|
)
|
|
|
|
response = requests.post(
|
|
"https://api.caipacity.com/v1/chat/completions",
|
|
headers=headers,
|
|
data=json_data,
|
|
stream=True,
|
|
)
|
|
response.raise_for_status()
|
|
|
|
for token in response.iter_lines():
|
|
if b"content" in token:
|
|
completion_chunk = json.loads(token.decode().replace("data: ", ""))
|
|
token = completion_chunk["choices"][0]["delta"].get("content")
|
|
if token != None:
|
|
yield token
|
|
|
|
@classmethod
|
|
@property
|
|
def params(cls):
|
|
params = [
|
|
("model", "str"),
|
|
("messages", "list[dict[str, str]]"),
|
|
("stream", "bool"),
|
|
("temperature", "float"),
|
|
]
|
|
param = ", ".join([": ".join(p) for p in params])
|
|
return f"g4f.provider.{cls.__name__} supports: ({param})"
|
|
|
|
|
|
def _hash(json_data: dict[str, str]) -> SHA256:
|
|
base_string: str = "%s:%s:%s:%s" % (
|
|
json_data["t"],
|
|
json_data["m"],
|
|
"WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf",
|
|
len(json_data["m"]),
|
|
)
|
|
|
|
return SHA256(hashlib.sha256(base_string.encode()).hexdigest())
|
|
|
|
|
|
def _format_timestamp(timestamp: int) -> str:
|
|
e = timestamp
|
|
n = e % 10
|
|
r = n + 1 if n % 2 == 0 else n
|
|
return str(e - n + r)
|
|
|
|
|
|
def _get_client_v():
|
|
response = requests.get("https://ai.ls/?chat=1")
|
|
response.raise_for_status()
|
|
js_path = response.text.split('crossorigin href="')[1].split('"')[0]
|
|
|
|
response = requests.get("https://ai.ls" + js_path)
|
|
response.raise_for_status()
|
|
return response.text.split('G4="')[1].split('"')[0]
|