Profanity-Checker

This repository contains a Python script that performs profanity checking and sentiment analysis on audio files. The script utilizes APIs from Google Speech Recognition, Purgomalum, and the VADER Sentiment Analysis tool.

Features

• Record audio from the microphone or select an audio file for analysis
• Perform profanity checking using the Purgomalum API
• Analyze sentiment using the VADER Sentiment Analysis tool
• Generate sentiment scores and labels
• Store input and output data in a CSV file

Installation

1. Clone the repository:

   git clone https://github.com/okaditya84/Profanity-Checker.git
   
   

2. Install the required dependencies by running the following command:

   pip install -r requirements.txt
   
   

3. Ensure you have the necessary API keys:

• Google Speech Recognition API key (follow Google's documentation on obtaining an API key)
• Purgomalum API key (visit the Purgomalum website and sign up to get an API key)

Usage

1. Run the Profanity checker.py script:

   python Profanity\ checker.py
   

2. Choose the desired mode of input:

• Enter 'mic' to record audio from the microphone.
• Enter 'file' to select an audio file for analysis.

3. Follow the on-screen instructions:

• If using the microphone, speak clearly into the microphone after the prompt.
• If selecting a file, use the file dialog to choose an audio file.

4. Wait for the script to perform the following tasks:

• Convert audio to text using Google Speech Recognition.
• Preprocess the text by removing stop words and lemmatizing words.
• Check for profanity in the text using the Purgomalum API.
• Analyze the sentiment of the text using VADER Sentiment Analysis.
• Display the results, including the sentiment scores and label.

5. The input text, filtered text, sentiment scores, and sentiment label will be saved in the 'output.csv' file.