

Bleep That Sht
Overview :
bleep_that_sht is an application written in Python that uses the Whisper transcription model to transcribe audio and then replace selected keywords, using corresponding timestamps with beeps. All processing is done locally, no data is uploaded, and user privacy is protected.
Target Users :
This product is suitable for users who wish to add humorous effects to videos or audio, such as vloggers, podcast creators, or anyone looking to inject fun into their content.
Use Cases
A vlogger uses bleep_that_sht to remove sensitive words from videos before uploading content.
A podcast creator uses this tool to beep inappropriate comments before releasing the episode.
Parents use the tool to filter out inappropriate content while playing videos for their children.
Features
Use the Whisper model to transcribe audio
Select keywords for beep replacement
Local processing to protect user privacy
Supports mp4 video format
Streamslit interface for video uploading and editing
Detailed Jupyter Notebook tutorial provided
How to Use
1. Install the project dependencies by running `pip install -r requirements.txt` in the terminal.
2. Ensure ffmpeg is installed on your local machine.
3. Run the Streamlit application using the command `python -m streamlit run bleep_that_sht/app_video_upload.py`.
4. Upload a local video file through the Streamlit interface.
5. Select the keywords that should be replaced with beeps.
6. Apply the beep effect and preview the results.
7. Save the processed video file if satisfactory.
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