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profanity-police
This is a python API which allows you to check for swear words in a youtube video, srt file, text file, custom source with multi language support. There are additional features like getting youtube transcript of a video, srt parser etc.
Readme
This is a python API which allows you to check for swear words in a youtube video, srt file, text file, custom source with multi language support. There are additional features like getting youtube transcript of a video, srt parser etc.
Install package using pip
pip install profanity-police
If you want to use it from source, you'll have to install the dependencies manually:
pip install -r requirements.txt
Basic implementation to check for swear words in a youtube video in a particular language
from profanity_police.transcript_checker import TranscriptChecker
checker = TranscriptChecker()
print(checker.check_transcript(source = "youtube", url = "https://www.youtube.com/watch?v=Vev2ybF2Z6g", language_code = "en"))
# video id can be passed directly instead of url if needed
# print(checker.check_transcript(source = "youtube", video_id = "Vev2ybF2Z6g", language_code = "hi"))
This would print something like this:-
[
{
"text":"The whole fucking bruhaha was happening..",
"start":298.91,
"duration":2.06,
"found":[
"fucking"
]
},
{
"text":"What the fuck is happening?",
"start":330.99,
"duration":0.91,
"found":[
"fuck"
]
},
{
"text":"Shit scripts how do you say it's shit?",
"start":1218.77,
"duration":1.63,
"found":[
"shit"
]
}
]
The duration is depicted in seconds.
Get youtube transcript for a video
from profanity_police.youtube import YoutubeTranscript
y_transcript = YoutubeTranscript(url = "https://www.youtube.com/watch?v=Vev2ybF2Z6g")
# Get the original transcripts available for a video
y_transcript.get_original_languages()
# Get the languages to which the video can be translated to
y_transcript.get_translation_languages()
transcript_en = y_transcript.get_transcript(language_code = "en-GB")
transcript_fr = y_transcript.get_transcript(language_code = "fr")
transcript_hi = y_transcript.get_transcript(language_code = "hi")
from profanity_police.transcript_checker import TranscriptChecker
checker = TranscriptChecker()
swear_phrases = checker.check_transcript(source = "file", file_path = "sample_srt_files/panchayat_episode_6.srt", file_type = "srt", language_code = "en")
print(swear_phrases)
from profanity_police.transcript_checker import TranscriptChecker
checker = TranscriptChecker()
swear_phrases = checker.check_transcript(source = "file", file_path = "y", file_type = "txt", language_code = "en")
print(swear_phrases)
from profanity_police.checker import Checker
checker = Checker()
transcript = [{"text": "What is your name?"}, {"text": "shut the fuck up"}]
language_code = "en"
# `transcript` needs to be a list of dictionaries with one mandatory key - `text`
swear_words_in_transcript = checker.check_swear_word(transcript, language_code)
from profanity_police.srt_extractor import SrtExtractor
file_path = "sample_srt_files/panchayat_episode_3.srt"
transcript = SrtExtractor().extract_text(file_path)
"""
transcript is a list of dictionary with the below format
[
{"text": "what is your name?", "start": 10, "end": 12}
]
start and end are in seconds
"""
For swear word checker
Name | Code |
---|---|
English | en |
French | fr |
Hindi | hi |
Italian | it |
Korean | ko |
Portuguese | pt |
Russian | ru |
Spanish | es |
For youtube translation:- All languages supported by youtube.
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FAQs
This is a python API which allows you to check for swear words in a youtube video, srt file, text file, custom source with multi language support. There are additional features like getting youtube transcript of a video, srt parser etc.
We found that profanity-police demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Streamline your login process and enhance security by enabling Single Sign-On (SSO) on the Socket platform, now available for all customers on the Enterprise plan, supporting 20+ identity providers.
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