qinfengge

  <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>

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-bom</artifactId>
            <version>1.0.0-SNAPSHOT</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>

 <!--  OpenAI dependency   -->
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-openai-spring-boot-starter</artifactId>
        </dependency>

        <!--  Ollama dependency   -->
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-ollama-spring-boot-starter</artifactId>
        </dependency>

spring:
  ai:
    ollama:
      base-url: http://127.0.0.1:11434/
      chat:
        model: qwen2:7b
    openai:
      base-url: https://xxx
      api-key: sk-xxx
      chat:
        options:
          model: gpt-3.5-turbo
server:
  port: 8868

@RestController
class MyController {

    private final ChatClient chatClient;

    public MyController(ChatClient.Builder chatClientBuilder) {
        this.chatClient = chatClientBuilder.build();
    }

    @GetMapping("/ai")
    String generation(String userInput) {
        return this.chatClient.prompt()
            .user(userInput)
            .call()
            .content();
    }
}

@Configuration
class Config {

    @Bean
    ChatClient chatClient(ChatClient.Builder builder) {
        return builder.defaultSystem("You are a friendly chat bot that answers questions in the voice of a Pirate")
                .build();
    }

}

spring:
  ai:
    chat:
      client:
        enabled: false

/**
 * @author LiZhiAo
 * @date 2024/6/19 20:47
 */

@Component
@RequiredArgsConstructor
public class OpenAiConfig {

    private final OpenAiChatModel openAiChatModel;

    public ChatClient openAiChatClient() {
        ChatClient.Builder builder = ChatClient.builder(openAiChatModel);
        builder.defaultSystem("You are a friendly AI that answers based on user questions");

        return ChatClient.create(openAiChatModel);
    }
}

// Inject
private final OpenAiConfig openAiConfig;
// Call
Flux<ChatResponse> stream = openAiConfig.openAiChatClient().prompt(new Prompt(messages)).stream().chatResponse();

// Inject
private final OpenAiChatModel openAiChatModel;
// Call
Flux<ChatResponse> stream = openAiChatModel.stream(new Prompt(messages));

 Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 500: named symbol not found

@RestController
@RequestMapping("/llama3")
@CrossOrigin
@RequiredArgsConstructor
public class llama3Controller {

    private final OpenAiConfig openAiConfig;
    private final OllamaConfig ollamaConfig;

    private static final Integer MAX_MESSAGE = 10;

    private static Map<String, List<Message>> chatMessage = new ConcurrentHashMap<>();

    /**
     * Returns the prompt
     * @param message User input message
     * @return Prompt
     */
    private List<Message> getMessages(String id, String message) {
        String systemPrompt = "{prompt}";
        SystemPromptTemplate systemPromptTemplate = new SystemPromptTemplate(systemPrompt);

        Message userMessage = new UserMessage(message);

        Message systemMessage = systemPromptTemplate.createMessage(MapUtil.of("prompt", "you are a helpful AI assistant"));

        List<Message> messages = chatMessage.get(id);

        // If no messages are retrieved, create new messages and add the system prompt and user input to the message list
        if (messages == null){
            messages = new ArrayList<>();
            messages.add(systemMessage);
            messages.add(userMessage);
        } else {
            messages.add(userMessage);
        }

        return messages;
    }

    /**
     * Create connection
     */
    @SneakyThrows
    @GetMapping("/init/{message}")
    public String init() {
        return String.valueOf(UUID.randomUUID());
    }

    @GetMapping("chat/{id}/{message}")
    public SseEmitter chat(@PathVariable String id, @PathVariable String message, HttpServletResponse response) {

        response.setHeader("Content-type", "text/html;charset=UTF-8");
        response.setCharacterEncoding("UTF-8");

        SseEmitter emitter = SseEmitterUtils.connect(id);
        List<Message> messages = getMessages(id, message);
        System.err.println("chatMessage size: " + messages.size());
        System.err.println("chatMessage: " + chatMessage);

        if (messages.size() > MAX_MESSAGE){
            SseEmitterUtils.sendMessage(id, "Too many conversations, please try again later 🤔");
        } else {
            // Get the model's output stream
            Flux<ChatResponse> stream = ollamaConfig.ollamaChatClient().prompt(new Prompt(messages)).stream().chatResponse();

            // Send messages in the stream using SSE
            Mono<String> result = stream
                    .flatMap(it -> {
                        StringBuilder sb = new StringBuilder();
                        Optional.ofNullable(it.getResult().getOutput().getContent()).ifPresent(content -> {
                            SseEmitterUtils.sendMessage(id, content);
                            sb.append(content);
                        });

                        return Mono.just(sb.toString());
                    })
                    // Concatenate messages into a string
                    .reduce((a, b) -> a + b)
                    .defaultIfEmpty("");

            // Store messages in chatMessage as AssistantMessage
            result.subscribe(finalContent -> messages.add(new AssistantMessage(finalContent)));

            // Store messages in chatMessage
            chatMessage.put(id, messages);
        }
        return emitter;
    }
}

<!doctype html>
<html>

<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <script src="https://cdn.tailwindcss.com"></script>
    <script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.3.1/styles/default.min.css">
    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.3.1/highlight.min.js"></script>
</head>

<body class="bg-zinc-100 dark:bg-zinc-800 min-h-screen p-4">
<div class="flex flex-col h-full">
    <div id="messages" class="flex-1 overflow-y-auto p-4 space-y-4">
        <div class="flex items-end">
            <img src="https://placehold.co/40x40" alt="avatar" class="rounded-full">
            <div class="ml-2 p-2 bg-white dark:bg-zinc-700 rounded-lg w-auto max-w-full">Hi~(⁄ ⁄•⁄ω⁄•⁄ ⁄)⁄</div>
        </div>
    </div>
    <div class="p-2">
        <input type="text" id="messageInput" placeholder="Please enter a message..."
               class="w-full p-2 rounded-lg border-2 border-zinc-300 dark:border-zinc-600 focus:outline-none focus:border-blue-500 dark:focus:border-blue-400">
        <button onclick="sendMessage()"
                class="mt-2 w-full bg-blue-500 hover:bg-blue-600 dark:bg-blue-600 dark:hover:bg-blue-700 text-white p-2 rounded-lg">Send</button>
    </div>
</div>
<script>
    let sessionId; // Used to store session ID
    let markdownBuffer = ''; // Buffer

    // Initialize marked and highlight.js
    marked.setOptions({
        highlight: function (code, lang) {
            const language = hljs.getLanguage(lang) ? lang : 'plaintext';
            return hljs.highlight(code, { language }).value;
        }
    });

    // Send HTTP request and handle response
    function sendHTTPRequest(url, method = 'GET', body = null) {
        return new Promise((resolve, reject) => {
            const xhr = new XMLHttpRequest();
            xhr.open(method, url, true);
            xhr.onload = () => {
                if (xhr.status >= 200 && xhr.status < 300) {
                    resolve(xhr.response);
                } else {
                    reject(xhr.statusText);
                }
            };
            xhr.onerror = () => reject(xhr.statusText);
            if (body) {
                xhr.setRequestHeader('Content-Type', 'application/json');
                xhr.send(JSON.stringify(body));
            } else {
                xhr.send();
            }
        });
    }

    // Handle SSE stream returned by the server
    function handleSSEStream(stream) {
        console.log('Stream started');
        const messagesContainer = document.getElementById('messages');
        const responseDiv = document.createElement('div');
        responseDiv.className = 'flex items-end';
        responseDiv.innerHTML = `
    <img src="https://placehold.co/40x40" alt="avatar" class="rounded-full">
    <div class="ml-2 p-2 bg-white dark:bg-zinc-700 rounded-lg w-auto max-w-full"></div>
  `;
        messagesContainer.appendChild(responseDiv);

        const messageContentDiv = responseDiv.querySelector('div');

        // Listen for 'message' events, triggered when the backend sends new data
        stream.onmessage = function (event) {
            const data = event.data;
            console.log('Received data:', data);

            // Append received data to the buffer
            markdownBuffer += data;

            // Attempt to parse the buffer as Markdown and display it
            messageContentDiv.innerHTML = marked.parse(markdownBuffer);

            // Use highlight.js for code highlighting
            document.querySelectorAll('pre code').forEach((block) => {
                hljs.highlightElement(block);
            });

            // Keep the scrollbar at the bottom
            messagesContainer.scrollTop = messagesContainer.scrollHeight;
        };
    }

    // Send message
    function sendMessage() {
        const input = document.getElementById('messageInput');
        const message = input.value.trim();
        if (message) {
            const messagesContainer = document.getElementById('messages');
            const newMessageDiv = document.createElement('div');
            newMessageDiv.className = 'flex items-end justify-end';
            newMessageDiv.innerHTML = `
          <div class="mr-2 p-2 bg-green-200 dark:bg-green-700 rounded-lg max-w-xs">
            ${message}
          </div>
          <img src="https://placehold.co/40x40" alt="avatar" class="rounded-full">
        `;
            messagesContainer.appendChild(newMessageDiv);
            input.value = '';
            messagesContainer.scrollTop = messagesContainer.scrollHeight;

            // On the first message sent, send an init request to get the session ID
            if (!this.sessionId) {
                console.log('init');
                sendHTTPRequest(`http://127.0.0.1:8868/llama3/init/${message}`, 'GET')
                    .then(response => {
                        this.sessionId = response; // Store session ID
                        return handleSSEStream(new EventSource(`http://127.0.0.1:8868/llama3/chat/${this.sessionId}/${message}`))
                    });

            } else {
                // Subsequent requests are sent directly to the chat interface
                handleSSEStream(new EventSource(`http://127.0.0.1:8868/llama3/chat/${this.sessionId}/${message}`))
            }
        }
    }
</script>
</body>

</html>