ChatGPT Plus users can now use the “Code Interpreter” in Beta mode!
If you cannot see it but you’re already a Plus member, you should activate it in the settings:
OpenAI has just launched a novel and experimental feature for its celebrated language model, ChatGPT, called the “Code Interpreter”.
This addition allows the model to utilize Python, manage file uploads and downloads, and perform tasks in a persistent, sandboxed environment. This powerful upgrade promises to open new horizons in user interaction, making the most of AI’s potential in both computation and communication.
The Power of Python in Chat
At its core, the Code Interpreter equips ChatGPT with a Python interpreter, creating a dynamic platform for computational dialogue. This mechanism functions in a secure and firewalled execution environment, ensuring user safety while providing the opportunity for live Python coding sessions.
Code executed through the interpreter plugin is evaluated in a session that persists for the duration of the chat conversation, allowing subsequent calls to build on previous computations. This continuity brings a sense of flow to the interactions, transforming the typical one-off, stateless chatbot experience into an engaging, continuous conversation.
File Handling Capabilities
Beyond Python code execution, the Code Interpreter also supports file uploads and downloads. Users can upload files to the conversation workspace and receive the results of their work as downloadable content. This feature expands the application scope of ChatGPT into areas such as data analysis, file format conversion, and even content generation.
A primary aim of the Code Interpreter is to make programming more accessible and its benefits more widely experienced. It’s like having an enthusiastic junior programmer at your fingertips, ready to swiftly execute commands, solve problems, and assist with tasks that would usually require a significant coding effort.
Initial user studies have identified several key areas where the Code Interpreter shines:
- Mathematical Problem Solving: The ability to handle complex mathematical operations makes the Code Interpreter a valuable tool for both quantitative and qualitative problem solving. For instance, users can solve systems of equations directly within the chat.
- Data Analysis and Visualization: With the power of Python’s vast scientific libraries, users can perform sophisticated data analysis and create compelling visualizations, all within the chat environment.
- File Format Conversion: The Code Interpreter can read, write, and convert between a variety of file formats, simplifying tasks that would usually require specialized software or extensive coding knowledge.
With the introduction of the Code Interpreter, ChatGPT is no longer just a text-based AI model, but a powerful and interactive computational tool. By blending Python’s versatility with ChatGPT’s conversational prowess, OpenAI has opened the door to a whole new realm of possibilities. We look forward to seeing what the ChatGPT community will achieve with this groundbreaking feature.
While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.
To help students reach higher levels of Python success, he founded the programming education website Finxter.com that has taught exponential skills to millions of coders worldwide. He’s the author of the best-selling programming books Python One-Liners (NoStarch 2020), The Art of Clean Code (NoStarch 2022), and The Book of Dash (NoStarch 2022). Chris also coauthored the Coffee Break Python series of self-published books. He’s a computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.
His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.