The Prompt Generator is a full-stack web application designed to create tailored content prompts based on user-specified categories, moods, and purposes. This application is built using Vaadin Flow, leveraging its powerful UI components for a responsive user experience, and Spring AI for OpenAI integration.
The project is a standard Maven project. To run it from the command line,
type mvnw
(Windows), or ./mvnw
(Mac & Linux), then open
http://localhost:8080 in your browser.
You can also import the project to your IDE of choice as you would with any Maven project. Read more on how to import Vaadin projects to different IDEs (Eclipse, IntelliJ IDEA, NetBeans, and VS Code).
To create a production build, call mvnw clean package -Pproduction
(Windows),
or ./mvnw clean package -Pproduction
(Mac & Linux).
This will build a JAR file with all the dependencies and front-end resources,
ready to be deployed. The file can be found in the target
folder after the build completes.
Once the JAR file is built, you can run it using
java -jar target/prompt-generator-1.0-SNAPSHOT.jar
MainLayout.java
insrc/main/java
contains the navigation setup (i.e., the side/top bar and the main menu). This setup uses App Layout.views
package insrc/main/java
contains the server-side Java views of your application.views
folder infrontend/
contains the client-side JavaScript views of your application.themes
folder infrontend/
contains the custom CSS styles.
- Read the documentation at vaadin.com/docs.
- Follow the tutorial at vaadin.com/docs/latest/tutorial/overview.
- Create new projects at start.vaadin.com.
- Search UI components and their usage examples at vaadin.com/docs/latest/components.
- View use case applications that demonstrate Vaadin capabilities at vaadin.com/examples-and-demos.
- Build any UI without custom CSS by discovering Vaadin's set of CSS utility classes.
- Find a collection of solutions to common use cases at cookbook.vaadin.com.
- Find add-ons at vaadin.com/directory.
- Ask questions on Stack Overflow or join our Discord channel.
- Report issues, create pull requests in GitHub.
To build the Dockerized version of the project, run
mvn clean package -Pproduction
docker build . -t prompt-generator:latest
Once the Docker image is correctly built, you can test it locally using
docker run -p 8080:8080 prompt-generator:latest