nova-api/api/moderation.py
2023-09-10 16:22:46 +02:00

56 lines
1.4 KiB
Python

"""This module contains functions for checking if a message violates the moderation policy."""
import time
import difflib
import asyncio
import aiocache
import profanity_check
from typing import Union
from Levenshtein import distance
cache = aiocache.Cache(aiocache.SimpleMemoryCache)
def input_to_text(inp: Union[str, list]) -> str:
"""Converts the input to a string."""
text = inp
if isinstance(inp, list):
text = ''
if isinstance(inp[0], dict):
for msg in inp:
text += msg['content'] + '\n'
else:
text = '\n'.join(inp)
return text
async def is_policy_violated(inp: Union[str, list]) -> bool:
"""Checks if the input violates the moderation policy.
"""
# use aio cache to cache the result
inp = input_to_text(inp)
# utilize the cache
if await cache.exists(inp):
return await cache.get(inp)
else:
await cache.set(inp, await is_policy_violated__own_model(inp))
return await cache.get(inp)
async def is_policy_violated__own_model(inp: Union[str, list]) -> bool:
"""Checks if the input violates the moderation policy using our own model."""
inp = input_to_text(inp).lower()
if profanity_check.predict([inp])[0]:
return 'Sorry, our moderation AI has detected NSFW content in your message.'
return False
if __name__ == '__main__':
while True:
print(asyncio.run(is_policy_violated(input('-> '))))