Introduction to SpeechClient

The SpeechClient in Spring AI is a powerful tool that allows you to interact with AI models to generate and analyze speech. This tutorial will guide you through setting up a Spring Boot application and demonstrate how to use SpeechClient to handle AI-generated speech effectively.

1. Setting Up the Project

Step 1: Create a New Spring Boot Project

You can create a new Spring Boot project using Spring Initializr or your preferred IDE. Ensure you include the necessary dependencies for Spring Web and Spring AI.

Using Spring Initializr:

• Go to start.spring.io
• Select:
  • Project: Maven Project
  • Language: Java
  • Spring Boot: 3.0.0 (or latest)
  • Dependencies: Spring Web, Spring AI
• Generate the project and unzip it.

Step 2: Add spring-ai-openai-spring-boot-starter Dependency

In your project's pom.xml, add the following dependency:

<dependency> <groupId>org.springframework.ai</groupId> <artifactId>spring-ai-openai-spring-boot-starter</artifactId> <version>1.0.0</version> </dependency> 

2. Configuring the Spring Boot Starter

Step 1: Add API Key to Configuration

Create a application.properties or application.yml file in your src/main/resources directory and add your OpenAI API key.

For application.properties:

openai.api.key=your_openai_api_key 

For application.yml:

openai: api: key: your_openai_api_key 

Step 2: Create a Configuration Class

Create a new configuration class to set up the OpenAI client and the SpeechClient abstraction.

package com.example.demo.config; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.ai.openai.OpenAiClient; import org.springframework.ai.openai.SpeechClient; import org.springframework.ai.openai.OpenAiSpeechClient; @Configuration public class OpenAiConfig { @Bean public OpenAiClient openAiClient() { return new OpenAiClient(); } @Bean public SpeechClient speechClient(OpenAiClient openAiClient) { return new OpenAiSpeechClient(openAiClient); } } 

3. Implementing the SpeechClient

Step 1: Create a Service for Speech Operations

Create a service class that will handle interactions with the SpeechClient abstraction.

package com.example.demo.service; import org.springframework.ai.openai.SpeechClient; import org.springframework.ai.openai.model.SpeechRequest; import org.springframework.ai.openai.model.SpeechResponse; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Service; @Service public class SpeechService { @Autowired private SpeechClient speechClient; public byte[] generateSpeech(String text) { SpeechRequest request = new SpeechRequest(); request.setText(text); SpeechResponse response = speechClient.generateSpeech(request); return response.getAudioData(); } } 

Step 2: Create a Controller for the Service

Create a controller to expose an endpoint for generating speech.

package com.example.demo.controller; import com.example.demo.service.SpeechService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; import javax.servlet.http.HttpServletResponse; import java.io.IOException; import java.io.OutputStream; @RestController public class SpeechController { @Autowired private SpeechService speechService; @GetMapping("/generateSpeech") public void generateSpeech(@RequestParam String text, HttpServletResponse response) throws IOException { byte[] audioData = speechService.generateSpeech(text); response.setContentType("audio/mpeg"); response.setContentLength(audioData.length); OutputStream os = response.getOutputStream(); os.write(audioData); os.flush(); os.close(); } } 

4. Creating a Simple Frontend

For demonstration purposes, we will create a simple HTML page that allows users to interact with the SpeechClient.

Step 1: Create an HTML File

Create an index.html file in the src/main/resources/static directory.

<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>AI Speech Generator</title> </head> <body> <h1>AI Speech Generator</h1> <div> <textarea id="text" rows="4" cols="50" placeholder="Type your text here..."></textarea><br> <button onclick="generateSpeech()">Generate</button> </div> <div id="audioResult"></div> <script> function generateSpeech() { const text = document.getElementById('text').value; fetch(`/generateSpeech?text=${encodeURIComponent(text)}`) .then(response => response.blob()) .then(data => { const audio = document.createElement('audio'); audio.src = URL.createObjectURL(data); audio.controls = true; document.getElementById('audioResult').appendChild(audio); }); } </script> </body> </html> 

5. Testing the Integration

Step 1: Run the Application

Run your Spring Boot application. Ensure the application starts without errors.

Step 2: Access the Speech Generator

Open your browser and navigate to http://localhost:8080. You should see the simple speech generator interface. Type some text and click "Generate" to hear the AI-generated speech.

Conclusion

In this tutorial, you learned how to set up and use the SpeechClient feature in a Spring Boot application with Spring AI. You created a service to handle speech generation, a controller to expose an endpoint, and a simple frontend for user interaction. This setup provides a foundation for building more complex and feature-rich AI speech applications. 

Explore further customization and enhancements to create a robust speech client.