Spaces:
Running
Running
File size: 1,435 Bytes
d4adf88 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 |
import os
import json
import random
import hashlib
import requests
from ...typing import sha256, Dict, get_type_hints
url = 'https://deepai.org'
model = ['gpt-3.5-turbo']
supports_stream = True
needs_auth = False
def _create_completion(model: str, messages: list, stream: bool, **kwargs):
def md5(text: str) -> str:
return hashlib.md5(text.encode()).hexdigest()[::-1]
def get_api_key(user_agent: str) -> str:
part1 = str(random.randint(0, 10**11))
part2 = md5(user_agent + md5(user_agent + md5(user_agent + part1 + "x")))
return f"tryit-{part1}-{part2}"
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'
headers = {
"api-key": get_api_key(user_agent),
"user-agent": user_agent
}
files = {
"chat_style": (None, "chat"),
"chatHistory": (None, json.dumps(messages))
}
r = requests.post("https://api.deepai.org/chat_response", headers=headers, files=files, stream=True)
for chunk in r.iter_content(chunk_size=None):
r.raise_for_status()
yield chunk.decode()
params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
'(%s)' % ', '.join(
[f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])
|