• Create a Spring-Boot web-application.
• create REST-Api in web-application to communicate with an AI model. 
• Angular/React frontend that provides the user interface to web-application. 

Pre-requisite -

• JDK 11+ 
• Maven/Gradle.
• Spring Boot Setup
• Basic Understanding of AI/ML Concepts
• AI-CHAT-Model API_key and details of AI-Model provider such as OpenAI or Gemini.
• Knowledge of Frontend framework, such as Angular or React.

Steps - 

• Create a Spring Boot project using http://start.spring.io (Spring-Initilizer).
• Select and add Spring Web and Spring AI dependencies ex – 
• spring-boot-starter-web  SpringBoot Starter Web for RESTful services

• spring-boot-starter-ai / spring-ai-openai-spring-boot-starter  Spring AI Starter for integrating AI models

• jackson-databind  Jackson for JSON processing

• Configure the spring-config file as application.yml or application.properties  with the API-key.
• Create ChatClient Bean or custom classes or interface of ChatClient of Spring-AI.
• Create a service class using above ChatClient implementation to interact with AI-Model.
  • Add following http-request Headers –
    • ContentType = MediaType.APPLICATION_JSON
    • Authorization = “Bearer AI_Model_API_Key”
  • Spring-AI API_Call Request-Parameters –
    • Model = gpt-3.5-turbo. (AI Model Name)
    • Temperature = 1 (Fine-Tuning-Param)
    • max_tokens = 110 (Fine-Tuning-Param)
    • messages in following json-schema-format –

 [ {“role”: ”user”, “content”: ”<User-Input-Prompt>”}  ]  

(Rest Api Call Request_Body Schema)

• Create a RestController to expose the ChatClient functionality as API. Ex - “/api/ai/chatbot”.
• Create a SPA-GUI to invoke RestController using Angular or React etc.
• Configure CORS to enable communication between the frontend and backend (RestAPI).

Chat_Model interaction steps – 

• Run Spring Boot Application
• Open GUI Page.
• Enter user-prompt as user-input.
• Get Response from AI_Model-Prpvider.