ToxiDetect is a tool designed to detect toxicity in text messages using TensorFlow.js and its toxicity detection model.
ToxiDetect provides a simple interface where users can input a text message, and the tool will analyze the message to determine if it contains any toxic content. The tool utilizes a pre-trained toxicity detection model from TensorFlow.js to make these assessments.
To use ToxiDetect, follow these steps:
- Input a text message into the provided text field.
- Click the "Detect" button to analyze the message.
- The tool will display the analysis results, indicating whether the message contains toxic content or not.
- Simple and intuitive interface.
- Real-time analysis of text messages for toxicity.
- Immediate feedback on the toxicity level of the input message.
- HTML: Provides the structure and elements of the web page.
- CSS: Styles the elements to improve visual presentation and user experience.
- JavaScript: Implements the functionality of the ToxiDetect tool.
- TensorFlow.js: Utilized for loading and running the pre-trained toxicity detection model.
- TensorFlow Models (Toxicity): Pre-trained model used for detecting toxicity in text messages.
To install ToxiDetect locally:
- Clone this repository to your local machine.
- Open the
index.htmlfile in a web browser.
I developed this project to explore TensorFlow.js and its applications in text analysis.
This project is licensed under the MIT License.