Knowledge Factory

Here's a detailed guide to implement a file upload , listing , downloading , and deleting functionality using Vue.js as the frontend and Spring Boot as the backend. Overview: Backend (Spring Boot) : Handle file upload, download, list, and delete functionality. Store files in a database or filesystem (we will use database for this example). Frontend (Vue.js) : Provide UI to upload, list, download, and delete files. Step 1: Spring Boot Backend 1.1 Create Spring Boot Application You can use Spring Initializr to create a Spring Boot project with the following dependencies: Spring Web Spring Data JPA (for database integration) H2 Database (for simplicity, you can use other databases like MySQL, PostgreSQL, etc.) Lombok (optional for easier code writing) Spring Boot DevTools (for easier development) 1.2 Backend Project Structure FileEntity : A model representing the uploaded file. FileRepository : JPA repository to handle database operations. FileService : Service class to handle fil...

Below is a basic example of how to create an Android application that interacts with a Spring Boot backend for file upload, listing, download, and deletion functionalities. Spring Boot Backend Setup Spring Boot Application Add dependencies to pom.xml : <dependencies> <dependency> <groupId> org.springframework.boot </groupId> <artifactId> spring-boot-starter-web </artifactId> </dependency> </dependencies> Controller for File Operations import org.springframework.http.HttpHeaders; import org.springframework.http.HttpStatus; import org.springframework.http.ResponseEntity; import org.springframework.web.bind. annotation .*; import org.springframework.web.multipart.MultipartFile; import java.io.File; import java.io.IOException; import java.nio.file.Files; import java.nio.file.Path; import java.nio.file.Paths; import java.util.stream.Collectors; @RestController @RequestMapping( "/files" ) ...

Integrating Spring Boot, Google Gemini, and Thymeleaf enables developers to create an intelligent web application that uses Google Gemini's AI capabilities for backend processing while using Thymeleaf for rendering dynamic web pages on the frontend. Here’s a step-by-step explanation: 1. Technology Overview Spring Boot   A framework to build RESTful web applications and backend systems.  Manages the logic, data handling, and integration with third-party services (like Google Gemini). Google Gemini   Advanced AI models from Google DeepMind, typically accessed via Google Cloud’s Vertex AI API for tasks like:  Text generation  Sentiment analysis  Summarization  Multimodal inputs (text, image, etc.)  Thymeleaf  A server-side template engine for rendering dynamic HTML content.  Seamlessly integrates with Spring Boot for creating interactive web pages. 2. Use Case Example Imagine a web app where users can input a prompt, and the app generates A...