shusain / ai-training-set-builder

A simple angular application that lets you load up a video file and extract/crop frames then use speech to text to describe the scene and save a set of images/descriptions such that they can be used to train stable-diffusion embeddings

VideoTextPrompt

This project was generated with Angular CLI version 15.2.0.

Development server

This project also relies on a node server backend to be running for saving the files on your local filesystem, to run the server in a separate terminal just run: node server/index.js and the server will be running on port 3000 waiting to save files to your disk on behalf of the FE. Be sure to npm install both in the base folder for angular dependencies as well as in the server folder cd server && npm install && node index.js should do it

Run ng serve for a dev server. Navigate to http://localhost:4200/. The application will automatically reload if you change any of the source files.

Code scaffolding

Run ng generate component component-name to generate a new component. You can also use ng generate directive|pipe|service|class|guard|interface|enum|module.

Build

Run ng build to build the project. The build artifacts will be stored in the dist/ directory.

Running unit tests

Run ng test to execute the unit tests via Karma.

Running end-to-end tests

Run ng e2e to execute the end-to-end tests via a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.

Further help

To get more help on the Angular CLI use ng help or go check out the Angular CLI Overview and Command Reference page.