partha6369/textcleaner-partha-demonstration

🧼 textcleaner-partha Demonstration

Welcome to the interactive Gradio demo of the textcleaner-partha Python library — developed by Dr. Partha Majumdar — for text preprocessing. This app allows users to clean and normalize raw text through a configurable pipeline using simple toggles. Whether you're a researcher, data scientist, or developer, you can quickly test the library’s capabilities with your own input or explore randomly selected examples.

🚀 Features

• —Two Modes of Use:
• —🎲 Examples: See the library in action on real-world examples with randomised settings.
• —🧪 Try Yourself: Manually enter text and choose preprocessing options.

• —Text Preprocessing Options:
• —Convert to lowercase
• —Remove Stop Words
• —Remove HTML tags
• —Remove emojis and symbols
• —Remove White Spaces
• —Remove Punctuations
• —Expand contractions (e.g., “don’t” → “do not”)
• —Expand abbreviations (e.g., “idk” → “I don’t know”)
• —Correct spellings using autocorrect
• —Lemmatise using spaCy (e.g., “running” → “run”)

📦 Requirements

The app relies on the following Python packages:

gradio>=4.16.0
spacy>=3.0.0
autocorrect>=2.6.1
contractions>=0.1.73
bs4>=0.0.1
textcleaner_partha>=0.3.2