NSFW Classifier Demo

Welcome to the NSFW (Not Safe For Work) Classifier Demo! This project is a result of collaborative efforts by Danwnad, Sivadas, and Mamtha for the Miniproject at CUSAT.

Overview

This NSFW classifier analyzes the content of a given website to determine if it contains offensive material. The results will indicate whether the website is safe or potentially NSFW.

Getting Started

Follow these steps to set up and run the NSFW Classifier Demo on your local machine using Streamlit and Docker Compose.

Prerequisites

• Docker: Make sure you have Docker installed on your system. If not, you can download and install it from Docker's official website.

Running Support Classifier with Docker Compose

1. Use Docker Compose to start containers for PostgreSQL and RabbitMQ:

   docker-compose up -d

Running NSFW Classifier

1. Run Streamlit in the command line:

   streamlit run app.py

2. Access the Streamlit app:

   Open your web browser and go to http://localhost:8501 to interact with the NSFW Classifier Demo.

Note

This demo is designed for educational purposes and may not be perfect. Use it responsibly.

See more projects

Discover other interesting projects by visiting Danwnad's GitHub.

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Enjoy exploring the NSFW Classifier Demo!