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Flutter+SpringBoot实现ChatGPT流式输出、上下文了连续对话
最终实现Flutter的流式输出+上下文连续对话。
这里就是提供一个简单版的工具类和使用案例,此处页面仅参考。
服务端
这里直接封装提供工具类,修改自己的apiKey即可使用,支持连续对话
工具类及使用
http依赖这里使用okHttp
<dependency>
<groupId>com.squareup.okhttp3</groupId>
<artifactId>okhttp</artifactId>
<version>4.9.3</version>
</dependency>
import com.alibaba.fastjson2.JSON;
import com.squareup.okhttp.Call;
import com.squareup.okhttp.MediaType;
import com.squareup.okhttp.OkHttpClient;
import com.squareup.okhttp.Request;
import com.squareup.okhttp.RequestBody;
import com.squareup.okhttp.Response;
import com.squareup.okhttp.ResponseBody;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
import org.springframework.util.StringUtils;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
import vip.ailtw.common.utils.StringUtil;
import javax.annotation.PostConstruct;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.Serializable;
import java.util.List;
import java.util.concurrent.TimeUnit;
import java.util.function.Consumer;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
@Slf4j
@Component
public class ChatGptStreamUtil {
/**
* 修改为自己的密钥
*/
private final String apiKey = "xxxxxxxxxxxxxx";
public final String gptCompletionsUrl = "https://api.openai/v1/chat/completions";
private static final OkHttpClient client = new OkHttpClient();
private static MediaType mediaType;
private static Request.Builder requestBuilder;
public final static Pattern contentPattern = Pattern.compile("\"content\":\"(.*?)\"}");
/**
* 对话符号
*/
public final static String EVENT_DATA = "d";
/**
* 错误结束符号
*/
public final static String EVENT_ERROR = "e";
/**
* 响应结束符号
*/
public final static String END = "<<END>>";
@PostConstruct
public void init() {
client.setConnectTimeout(60, TimeUnit.SECONDS);
client.setReadTimeout(60, TimeUnit.SECONDS);
mediaType = MediaType.parse("application/json; charset=utf-8");
requestBuilder = new Request.Builder(Flutter+SpringBoot实现ChatGPT流式输出、上下文了连续对话
最终实现Flutter的流式输出+上下文连续对话。
这里就是提供一个简单版的工具类和使用案例,此处页面仅参考。
服务端
这里直接封装提供工具类,修改自己的apiKey即可使用,支持连续对话
工具类及使用
http依赖这里使用okHttp
<dependency>
<groupId>com.squareup.okhttp3</groupId>
<artifactId>okhttp</artifactId>
<version>4.9.3</version>
</dependency>
import com.alibaba.fastjson2.JSON;
import com.squareup.okhttp.Call;
import com.squareup.okhttp.MediaType;
import com.squareup.okhttp.OkHttpClient;
import com.squareup.okhttp.Request;
import com.squareup.okhttp.RequestBody;
import com.squareup.okhttp.Response;
import com.squareup.okhttp.ResponseBody;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
import org.springframework.util.StringUtils;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
import vip.ailtw.common.utils.StringUtil;
import javax.annotation.PostConstruct;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.Serializable;
import java.util.List;
import java.util.concurrent.TimeUnit;
import java.util.function.Consumer;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
@Slf4j
@Component
public class ChatGptStreamUtil {
/**
* 修改为自己的密钥
*/
private final String apiKey = "xxxxxxxxxxxxxx";
public final String gptCompletionsUrl = "https://api.openai/v1/chat/completions";
private static final OkHttpClient client = new OkHttpClient();
private static MediaType mediaType;
private static Request.Builder requestBuilder;
public final static Pattern contentPattern = Pattern.compile("\"content\":\"(.*?)\"}");
/**
* 对话符号
*/
public final static String EVENT_DATA = "d";
/**
* 错误结束符号
*/
public final static String EVENT_ERROR = "e";
/**
* 响应结束符号
*/
public final static String END = "<<END>>";
@PostConstruct
public void init() {
client.setConnectTimeout(60, TimeUnit.SECONDS);
client.setReadTimeout(60, TimeUnit.SECONDS);
mediaType = MediaType.parse("application/json; charset=utf-8");
requestBuilder = new Request.Builder(本文标签: 流式FlutterSpringBootChatGpt
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