[笔记] 帮公司实习生做毕设调试ChatGPT访问

    /**
     * 聊天端点
     */
    String chatEndpoint = "https://api.openai.com/v1/chat/completions";
    /**
     * api密匙
     */
    String apiKey = "sk-A84JvQtrsES3Vd*******************QHKQIyeHBQQJMy";

    /**
     * 发送消息
     *
     * @param txt 内容
     * @return {@link String}
     */

    public String chat(String txt) {
        Map<String, Object> paramMap = new HashMap<>();
        paramMap.put("model", "gpt-3.5-turbo");
        List<Map<String, String>> dataList = new ArrayList<>();

        dataList.add(new HashMap<String, String>(){{
            put("role", "user");
            put("content", txt);
        }});

        paramMap.put("messages", dataList);
        paramMap.put("temperature", 0.5); // 控制生成文本的随机性，数值越大越随机
        paramMap.put("max_tokens", 60); // 控制生成文本的长度
        paramMap.put("stop", "\n"); // 控制生成文本的停止条件
        JSONObject message = null;
        System.out.print("666");
        try {
            String body = HttpRequest.post(chatEndpoint)

                    .header("Authorization", "Bearer " + apiKey)
                    .header("Content-Type", "application/json")
                    .body(JSONUtil.toJsonStr(paramMap))
                    .setHttpProxy("127.0.0.1", 10800) // 设置代理(很关键)
                    .execute()
                    .body();

            JSONObject jsonObject = JSONUtil.parseObj(body);
            JSONArray choices = jsonObject.getJSONArray("choices");
            JSONObject result = choices.get(0, JSONObject.class, Boolean.TRUE);
            message = result.getJSONObject("message");
        } catch (HttpException e) {
            return "出现了异常";
        } catch (ConvertException e) {
            return "出现了异常";
        }
        System.out.println(message);
        return message.getStr("content");
    }