https://github.com/zahidkhawaja/toxicity-detector

Use this web app to predict the toxicity of text input. Powered by TensorFlow.js
https://github.com/zahidkhawaja/toxicity-detector

machine-learning

Last synced: about 6 hours ago
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Use this web app to predict the toxicity of text input. Powered by TensorFlow.js

• Host: GitHub
• URL: https://github.com/zahidkhawaja/toxicity-detector
• Owner: zahidkhawaja
• Created: 2022-04-28T23:03:28.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-04-29T13:49:40.000Z (over 2 years ago)
• Last Synced: 2024-11-11T03:24:40.822Z (about 2 months ago)
• Topics: machine-learning
• Language: JavaScript
• Homepage: https://toxicity.vercel.app/
• Size: 292 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Toxicity Detector

## Powered by [TensorFlow.js](https://www.tensorflow.org/js)

In the project directory, you can run:

### `npm start`

Runs the app in the development mode.\

Open [http://localhost:3000](http://localhost:3000) to view it in your browser.

The page will reload when you make changes.\

You may also see any lint errors in the console.

### `npm test`

Launches the test runner in the interactive watch mode.\

See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.

### `npm run build`

Builds the app for production to the `build` folder.\

It correctly bundles React in production mode and optimizes the build for the best performance.

The build is minified and the filenames include the hashes.\

Your app is ready to be deployed!

See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.

### `npm run eject`

**Note: this is a one-way operation. Once you `eject`, you can't go back!**