Spring Ai Multimodal

AI models can understand and process information from various sources, such as text, images, audio, and other data formats, they are also called MultiModels. The Ollama provides some MultiModel, such as LLaVa and baklava. Spring Ai Multimodal supports communication with these Models.

package com.example.springai.controller;

import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.model.Media;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.core.io.ClassPathResource;
import org.springframework.util.MimeTypeUtils;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.List;


@RestController
public class SpringAiController {
    @Autowired
    private ChatModel chatModel;

    @GetMapping("/hello")
    String hello() {
        var imageData = new ClassPathResource("/hello.png");
        var userMessage = new UserMessage("Explain what do you see in this picture?", List.of(new Media(MimeTypeUtils.IMAGE_PNG, imageData)));
        var response = this.chatModel.call(new Prompt(userMessage));
        return response.getResult().getOutput().getContent();
    }
}

package com.example.springai;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class SpringAiApplication {
    public static void main(String[] args) {
        SpringApplication.run(SpringAiApplication.class, args);
    }
}

spring.application.name=SpringAi
spring.docker.compose.lifecycle-management=start-only
spring.threads.virtual.enabled=true
# The default Ollama Model in Spring Ai is mistral, but it can be changed by setting the below property. make sure to download the same model in entrypoint.sh file
spring.ai.ollama.chat.options.model=llava
# If running the Ollama Docker Instance separately, then set this property
#spring.docker.compose.enabled=false

services:
  ollama-model:
    image: ollama/ollama:latest
    container_name: ollama_container
    ports:
      - 11434:11434/tcp
    healthcheck:
      test: ollama --version || exit 1
    command: serve
    volumes:
      - ./ollama/ollama:/root/.ollama
      - ./entrypoint.sh:/entrypoint.sh
    pull_policy: missing
    tty: true
    restart: no
    entrypoint: [ "/usr/bin/bash", "/entrypoint.sh" ]

  open-webui:
    image: ghcr.io/open-webui/open-webui:main
    container_name: open_webui_container
    environment:
      WEBUI_AUTH: false
    ports:
      - "8081:8080"
    extra_hosts:
      - "host.docker.internal:host-gateway"
    volumes:
      - open-webui:/app/backend/data
    restart: no

volumes:
  open-webui:

#!/bin/bash
# Start Ollama in the background.
/bin/ollama serve &
# Record Process ID.
pid=$!
# Pause for Ollama to start.
sleep 5
# The default Ollama Model in Spring Ai is mistral, but it can be changed in the applications property file. Make sure to download the same Model here
echo "🔴 Retrieve llava model..."
ollama pull llava
echo "🟢 Done!"
# Wait for the Ollama process to finish.
wait $pid

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://maven.apache.org/POM/4.0.0"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>3.3.2</version>
        <relativePath/>
    </parent>
    <groupId>com.example.springai</groupId>
    <artifactId>spring-ai-multimodal</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>Spring Ai Multimodal</name>
    <description>Demo project for Spring Boot</description>

    <properties>
        <java.version>21</java.version>
        <spring-ai.version>1.0.0-SNAPSHOT</spring-ai.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-ollama-spring-boot-starter</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-docker-compose</artifactId>
            <scope>runtime</scope>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
    </dependencies>
    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.springframework.ai</groupId>
                <artifactId>spring-ai-bom</artifactId>
                <version>${spring-ai.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
        </dependencies>
    </dependencyManagement>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <configuration>
                    <mainClass>com.example.springai.SpringAiApplication</mainClass>
                    <excludes>
                        <exclude>
                            <groupId>org.projectlombok</groupId>
                            <artifactId>lombok</artifactId>
                        </exclude>
                    </excludes>
                </configuration>
            </plugin>
        </plugins>
    </build>
    <repositories>
        <repository>
            <id>spring-milestones</id>
            <name>Spring Milestones</name>
            <url>https://repo.spring.io/milestone</url>
            <snapshots>
                <enabled>false</enabled>
            </snapshots>
        </repository>
        <repository>
            <id>spring-snapshots</id>
            <name>Spring Snapshots</name>
            <url>https://repo.spring.io/snapshot</url>
            <releases>
                <enabled>false</enabled>
            </releases>
        </repository>
    </repositories>
</project>

Run the curl to see the Spring Ai Spring Ai

curl --location 'http://localhost:8080/hello'