matlab调用ChatGPT保姆级教程
新模型新气象，天下不会掉馅饼，调用新模型并不免费，而是按0.002美元/1000 tokens计费。
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想要调用gpt-3.5-turbo模型，首先就得要有一个可用的openapi账号并创建一个api-keys供调用时验证。
下面通过实例来看看如何在matlab中调用chatgpt的api，问它如何用matlab在区间x~[-pi, pi]，y~[-pi, pi]上绘制z=sin(x)*cos(y)的三维图：
问题如下：
how to make a figure and plot z=sin(x)*cos(y) for x=-pi to + pi and y = -pi to +pi using matlab?导入HTTP包：
import matlab.net.*
import matlab.net.http.*定义消息内容：
umesges = "how to make a figure and plot z=sin(x)*cos(y) for x=-pi to + pi and y = -pi to +pi using matlab";
mesges = [struct('role',"system", ...
'content',"You are a helpful assistant."); struct('role',"user",'content',umesges)];定义服务器链接和api-keys：
apiurl = "https://api.openai.com/v1/chat/completions";
apikey = "此处为你自己的api-keys";定义请求头和请求方法：
% 定义请求消息
querymsg = struct('model',"gpt-3.5-turbo",...
'messages',mesges, ...
'max_tokens',1000,...
'temperature',0.75);
% 请求头
headers = HeaderField('Content-Type', 'application/json',...
'Authorization', "Bearer " + apikey);
% 请求消息
request = RequestMessage('post',headers,querymsg);向服务器发送请求：
response = send(request, URI(apiurl));处理反馈信息：
if response.StatusCode == "OK"
responseText = response.Body.Data.choices(1).message;
responseText = string(responseText.content);
responseText = strtrim(responseText);
disp(responseText);
else
responseText = "Error ";
responseText = responseText + response.StatusCode + newline;
responseText = responseText + response.StatusLine.ReasonPhrase;
end反馈结果如下：
Sure, you can use the following code to create a figure and plot the function z=sin(x)*cos(y) in MATLAB:
```
% Define the range of x and y values
x = linspace(-pi, pi, 100);
y = linspace(-pi, pi, 100);
% Create a grid of x and y values
[X, Y] = meshgrid(x, y);
% Compute the function z=sin(x)*cos(y)
Z = sin(X).*cos(Y);
% Create a new figure
figure();
% Plot the function using surf function
surf(X, Y, Z);
% Set the color map to 'jet'
colormap('jet');
% Add a color bar
colorbar();
% Add labels for the axes and title
xlabel('x');
ylabel('y');
zlabel('z');
title('z = sin(x)*cos(y)');
```
This code will create a 3D plot of the function z=sin(x)*cos(y) for x=-pi to + pi and y = -pi to +pi, with x, y, and z axes labeled and a color bar indicating the values of z. You can customize the plot further by adjusting the grid size, color map, and other plot properties as needed.
这样就完成了整个对ChatGPT API的调用过程，通过稍加改进完善就可以做成一个即时的ChatGPT聊天机器人。这里需要特别感谢Hans Scharler在matlab的官方问答论坛中首次给出了在matlab调用ChatGPT的解决方案。Duncan Carlsmith基于Hans Scharler的答案在File Exchange中分享了几个使用ChatGPT生成m文件的小工具。Toshiakit基于基于Hans Scharler的答案开发了一个专门用于调用ChatGPT API的chatGPT类。以上提到的内容都可在参考资料中找到，想进一步研究的伙伴可通过参考资料深入学习。
参考资料：
[1] matlabcentral/answers/1894530-connecting-to-chatgpt-using-api
[2] github.com/toshiakit/chatgpt_matlab
[3] matlabcentral/fileexchange/124080-chatgpt-generated-matlab-program
[4] github.com/OpsConfig/OpenAI_Lab/blob/main/chatgpt/ChatGPT%20Demo.ipynb
封面图片：由 Ruby Chen 在openai.com/blog/chatgpt上发布
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