What is ChatGPT Code Interpreter and How Does it Work?

Imagine having a chat with your code and it talks back! That’s what ChatGPT-4’s Code Interpreter is all about. It’s your friendly coding buddy, ready to dive into your code, figure it out, and even run it for you. Coding has never been this conversational! Let’s understand how it can analyze complex data sets into seconds.

Code Interpreter is an official ChatGPT plugin that understands, interprets, and executes code in real-time, transforming how we interact with programming languages. It went from the Alpha to Beta experimental stage. From debugging to code generation, it’s not just a chatbot but a coder’s companion, revolutionizing the learning and application of coding.

Let’s understand What is Code Interpreter, how it works, its use cases and how to enable it.

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Table of Content

• What is Code Interpreter in ChatGPT-4?
• Why Use Code Interpreter?
• How to Enable Code Interpreter in ChatGPT- 4?
• How Does Code Interpreter in ChatGPT-4 Work?

What is Code Interpreter in ChatGPT-4?

ChatGPT-4’s code interpreter significantly enhances its predecessors, offering a more interactive and dynamic way of handling code-related queries and tasks. It is designed to understand, interpret, and execute code snippets within the conversation, providing users with real-time results and feedback. This ChatGPT plugin is available for ChatGPT plus users, priced at $20.

Explore: How to Use ChatGPT for Free: GPT 4 Version

The code interpreter in ChatGPT-4 is built upon the advancements in Artificial Intelligence and Machine Learning, leveraging the power of transformer-based models to understand the context and semantics of the code. Currently, code interpreter only supports Python code.

The interpreter parses the code, understands its structure, and executes it in a secure and controlled environment. This allows it to provide real-time results to the user, making it a useful tool for learning programming, debugging code, or even performing small tasks directly within the chat.

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Why Use Code Interpreter?

Explore: 10 Exciting Applications of ChatGPT for Data Analysis

How to Enable Code Interpreter in ChatGPT- 4?

1. When you open your ChatGPT Plus account, you will find a settings option in the left corner. 

2. Click on settings, and there you will see an option for code interpreter.

3.  Click on it, and you are good to go. 

How Does Code Interpreter in ChatGPT-4 Work?

The code interpreter works by parsing the code, understanding its structure, and executing it in a secure and controlled environment. It leverages the power of transformer-based models to understand the context and semantics of the code. Additionally, Code Interpreter gives you temporary disk space to upload your files. There is support for more than a hundred file formats, including TXT, PDF, DOC, DOCX, JPEG, PNG, MP4, AVI, CSV, JSON, XML, XLS, XLSX, CPP, PY, HTML, PDF, DB, SQLite, and others.

What it does: Code Interpreter allows GPT-4 to upload and download information and to write and execute programs in a persistent workspace. This gives the AI a general-purpose toolbox to solve problems by writing code in Python and a large memory to work with. You can upload files up to 100MB, which can be compressed.

ChatGPT code interpreter is designed to handle complex code structures and algorithms. However, the effectiveness may vary depending on the code’s complexity and the programming language’s specific features.

Let’s understand it better with the help of an example:

We use Twitter sentiment analysis.

This is the sentiment140 dataset.

It contains 1,600,000 tweets extracted using the Twitter API. The tweets have been annotated (0 = negative, 2 = neutral, 4 = positive) and can be used to detect sentiment.

It contains the following 6 fields:

target: the polarity of the tweet (0 = negative, 2 = neutral, 4 = positive)

ids: The id of the tweet ( 2087)

date: the date of the tweet (Sat May 16 23:58:44 UTC 2009)

flag: The query (lyx). If there is no query, then this value is NO_QUERY.

user: the user that tweeted (robotickilldozr)

text: the text of the tweet (Lyx is cool)

According to the creators of the dataset:

“Their approach was unique because their training data was automatically created instead of having humans manually annotate tweets. Their approach assumes that any tweet with positive emoticons, like :), were positive, and tweets with negative emoticons, like :(, were negative. Using the keyword search, they used the Twitter Search API to collect these tweets.”

Prompt used:

What are the most common words in positive sentiment tweets vs negative sentiment tweets?

Analyze the dataset and provide the answer to this question in the form of a visual representation.

Output Generated:

Note: The below answer is also generated by the GPT-4.

Here are the most common words in tweets with negative and positive sentiments:

The words “just”, “like”, “day”, “time”, and “today” are common in both types of tweets, suggesting they are used frequently regardless of sentiment. However, words such as “don” and “work” seems to be more associated with negative tweets, while “love”, “thanks”, “lol”, and “new” are more associated with positive tweets.

Prompt used:

Can we identify any temporal trends in the sentiments of the tweets (for example, are there more negative tweets at a particular time of day or a specific day of the week)?
Answer the above questions and analyse this dataset and provide answer with the help of a chart or graph.

Output generated:

Note: The below answer is also generated by the GPT-4.

The charts above show the distribution of tweet sentiments throughout the day (0-23 hours) and the week (Monday-Sunday).

From the hourly sentiment distribution graph, we can observe that:

• The volume of positive and negative tweets tends to lower during the early morning hours (around 0-5). This could be attributed to fewer people being active on Twitter during these hours.
• The volume of tweets starts to increase from around 5-6 and peaks around 10-12. This pattern is seen in both positive and negative tweets.
• The volume of tweets starts to decrease after the peak and continues to decrease until the early hours of the next day.

From the weekday sentiment distribution graph, we can observe that:

• The volume of tweets remains relatively steady throughout the weekdays (Monday-Friday), with a minor dip on Tuesday for negative tweets.
• There’s a noticeable drop in the volume of tweets on the weekend (Saturday and Sunday). This drop is more pronounced for negative tweets.

The quality of your output depends on the prompt. More accurate the prompt you will give, the more accurate output you will receive. Check out these online Prompt Engineering Courses and Certifications to learn more about promoting.

There are many other used cases of GPT-4 code interpreter than above; we have discussed only one.

Also read: 10 Exciting Applications of ChatGPT for Data Analysis.

Conclusion

ChatGPT-4’s code interpreter is a revolutionary tool that brings coding into conversational AI. Its ability to understand, interpret, and execute code in real-time makes it a dynamic companion for coding tasks, learning, and debugging. It’s not just an AI chatbot but a versatile coding assistant that makes programming more interactive, accessible, and engaging.