ChatGPT と Java を使用してインテリジェントな感情分析ツールを開発する方法

import org.tensorflow.Graph;
import org.tensorflow.Session;
import org.tensorflow.Tensor;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;

public class SentimentAnalysis {
    private static final String MODEL_PATH = "path/to/pretrained/model";
    private static final String VOCAB_PATH = "path/to/vocab/file";
    private static final String[] EMOTIONS = {"Positive", "Negative"};

    private Graph graph;
    private Session session;

    public SentimentAnalysis() {
        graph = new Graph();
        byte[] graphDef = readAllBytesOrExit(Paths.get(MODEL_PATH));
        graph.importGraphDef(graphDef);
        session = new Session(graph);

        // 加载词汇表
        // ...
    }

    public String getSentiment(String input) {
        // 调用ChatGPT生成回答
        // ...

        // 判断情感倾向
        // ...

        return "Neutral";
    }

    public static void main(String[] args) {
        SentimentAnalysis sentimentAnalysis = new SentimentAnalysis();
        String input = "How are you today?";
        String sentiment = sentimentAnalysis.getSentiment(input);
        System.out.println("Sentiment: " + sentiment);
    }

    private byte[] readAllBytesOrExit(Path path) {
        try {
            return Files.readAllBytes(path);
        } catch (Exception e) {
            System.err.println("Failed to read TensorFlow model file: " + e.getMessage());
            System.exit(1);
        }
        return null;
    }
}