semvec/pypi-packages huggingface dataset:
detoxifier 0.2
Detoxifier library identifies toxic words in a query and detoxified it by replacing toxic words.


#  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 --> *****) 


```console
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
```console
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.


```console
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
```console
1
## returns 1 if toxic word is present else it returns 0. ##
```