Detoxifier
" For a Safe, Secure and Positivity enriched Digital World "
1) detoxify_text()
Given a input query with toxic comments, this library will exactly spot the toxic words and replace the letters of that particular word with asterisk (*). (eg: moron --> *****)
from detoxifier import detoxify_text
# Dialogue from American Series Silicon Valley (Season 1)
input_text = "Hello, Richard Hendricks. I'm a total fucking retard."
detoxify_text(input_text)
Output
Hello, Richard Hendricks. I'm a total ******* ******."
2) check_textual_toxicity()
Given a input query with toxic comments, this library will check for the presence of toxic words in the query.
from detoxifier import check_textual_toxicity
# Dialogue from American Series Silicon Valley (Season 1)
input_text = "Hello, Richard Hendricks. I'm a total fucking retard."
check_textual_toxicity(input_text)
Output
1
## returns 1 if toxic word is present else it returns 0. ##
Metadata
Release files for detoxifier 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| detoxifier-0.2-py3-none-any.whl | Python 3 | none | any | Details |
Release files / detoxifier-0.2-py3-none-any.whl
| Download URL | detoxifier-0.2-py3-none-any.whl |
|---|---|
| Size | 12.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0c0f1081ce440ff5601aef109ae2abe50472132949b7ff1a900143eea1bfb14c
|
|
BLAKE2b-256 checksum How to use checksums |
8a5c5f16270293776f299d4bdf28bc9e9069f8379e2cb7852cc10074424e5230
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.4
|