MATLAB app and class to access ChatGPT API from OpenAI
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更新 2024/6/8

MatGPT - MATLAB® app to access ChatGPT API from OpenAI™

View MatGPT on File Exchange Open in MATLAB Online

MatGPT Logo

MatGPT is a MATLAB app that allows you to easily access OpenAI's ChatGPT API. With the app, you can load a list of prompts for specific use cases and engage in conversations with ease. If you're new to ChatGPT and prompt engineering, MatGPT is a great way to learn.

The app simply serves as an interface to the ChatGPT API. You should be familiar with the limitations and risks associated with using this technology as well as with OpenAI terms and policies. You are responsible for any fees OpenAI may charge for the use of their API.

MatGPT was updated to run on the framework from the 'Large Language Models (LLMs) with MATLAB' repo maintained by MathWorks.

MATLAB AI Chat Playground is a great alternative to MatGPT on MATLAB Central.

What's New

  • MatGPT runs on the 'LLMs with MATLAB' framework, which requires MATLAB R2023a or later.
  • MatGPT supports streaming API where response tokens are displayed as they come in.
  • MatGPT detects a URL included in a prompt, and retrieves its web content into the chat.
  • MatGPT lets you import a .m, .mlx, .csv or .txt file into the chat. PDF files are also supported if Text Analytics Toolbox is available.
  • MatGPT supports GPT-4 Turbo with Vision. You can pass the URL to an image, or a local image file path ask questions about the image.
  • MatGPT lets you generate an image via DALL·E 3 API.
  • MatGPT supports voice chat via Whisper API.

Please note that:

  • imported content will be truncated if it exceeds the context window limit.
  • Streaming must be disabled to use image generation via DALL·E 3.




To use MatGPT on MATLAB Online, simply click Open in MATLAB Online

MATLAB Desktop

  1. Download the content of this repository into a MATLAB path.
  2. Launch MATLAB
  3. type 'MatGPT' in the command window

How to use: MatGPT app

MatGPT Chat Tab

  1. Click on + New Chat in the left nav to add a new chat. This opens the Settings tab.
  2. In the Settings tab, either choose a preset to populate the settings or customize on your own. Once you have completed the settings, click Start New Chat to initiate a chat. This will take you back to the Main tab.
  • Presets are loaded from Presets.csv - feel free to customize your prompts.
  1. In the Main tab, a sample prompt is already provided based on the preset you selected, but feel free to replace it with your own. When you click Send button, the response will be shown in the 'Chat' tab.
  • The paperclip button lets you include the content of a m-file, live script file or csv file in the chat.
  • If the prompt contains a URL, MatGPT ask you to confirm that you want to open the page.
  • The Send button and Paperclip button are disabled until a chat is configured in the Settings tab.
  • If you want suggestion for follow-up questions in the response, check Suggest follow-up questions checkbox. Suggested questions appear as clickable buttons. You can copy a suggested question to the prompt box by clicking it.
  • If your prompt is intended to generate MATLAB code, check Test Generated MATLAB Code checkbox to test the returned code.
  • The Usage tab shows the number of tokens used in the current chat session.
  • Add stop sequences in Advanced tab to specify the sequences where the API will stop generating further tokens.
  1. Continue the conversation by keep adding more prompts and clicking Send.
  2. You can right-click or double-click a chat in the left navigation panel to rename, delete, or save the chat to a text file.
  3. When you close the app, the chat will be saved and will be reloaded into the left nav when you relaunch the app.


  • You can increase the connection timeout in the Settings. You can add proxy via Web Preferences in MATLAB.
  • Streaming is enabled by default, but you can turn it off in the Settings tab. Usage data is not available in streaming mode.

What happened to chatGPT class?

chatGPT class was replaced by the framework provided via the 'Large Language Models (LLMs) with MATLAB' repo. The new framework supports function calling and other latest features. Please refer to the documentation in the repo to learn how to use it.


This code is adapted from this MATLAB Answers comment by Hans Scharler and uses Brian Buechel's CodeChecker and other great contributions. The video shown above was created by Angel Gonzalez Llacer.


The license for MatGPT is available in the LICENSE.txt file in this GitHub repository.


Toshiaki Takeuchi (2024). MatGPT (, GitHub. 取得済み .

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作成: R2023a
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