Have you ever wished you could write and run code in chat? Do you want to learn new programming skills, create interactive content, or automate tasks without leaving your conversation? If you answered yes to any of these questions, then you will love Code Interpreter, the latest addition to ChatGPT Plus.
Code Interpreter is a tool that lets you execute Python code in chat using natural language commands. You can use it to perform various tasks, such as converting GIFs to MP4s, generating memes, scraping data from websites, and more. You can also share your code and results with your chat partners, making it easy to collaborate, teach, or have fun.
Code Interpreter will be soon available to all ChatGPT Plus users. In this blog post, we will explain what Code Interpreter is, how it works, and how it can enhance your ChatGPT Plus experience. Let’s dive in!
1. Convert GIF to MP4
Convert GIF to MP4 is a feature of Code Interpreter that allows you to transform animated GIFs into MP4 videos in chat. This feature can be useful for reducing the file size, improving the quality, or changing the format of your GIFs. You can use simple Python commands to perform the conversion in a few steps.
![](https://aiforspecialists.com/wp-content/uploads/2023/07/pc-1.jpg)
2. Create all kinds of graphs
Create graphs is a feature of Code Interpreter that allows you to visualize data in chat using Python libraries such as matplotlib, seaborn, or plotly.
This feature can be useful for exploring, analyzing, or presenting data in a graphical way. You can use natural language commands to create different types of graphs, such as bar charts, pie charts, scatter plots, line plots, and more. You can also customize your graphs with titles, labels, colors, legends, and share your graphs with your chat partners, making it easy to communicate your findings or insights.
![](https://aiforspecialists.com/wp-content/uploads/2023/07/pc-2.jpg)
3. Extract colors from an image to create a PNG palette
Extract colors from an image to create a PNG palette is a feature of Code Interpreter that allows you to identify and display the main colors of an image in chat using the skimage
and PIL
modules in Python.
This feature can be useful for finding the color scheme, theme, or mood of an image. You can use natural language commands to specify the path or URL of the image you want to analyze and the number of colors you want to extract.
The feature will then create a PNG palette with the extracted colors and their hexadecimal codes and show it in chat. You can share your palette with your chat partners, making it easy to compare or contrast different images.
![](https://aiforspecialists.com/wp-content/uploads/2023/07/pc3.jpg)
4. Clean data to generate insightful visualizations
Clean data to generate insightful visualizations is a feature of Code Interpreter that allows you to prepare and transform data in chat using Python libraries such as pandas, numpy, or scikit-learn.
This feature can be useful for removing noise, outliers, missing values, or duplicates from your data, as well as performing operations such as filtering, sorting, grouping, aggregating, or merging your data. You can use natural language commands to load your data from various sources, such as CSV files, JSON files, or web pages, and apply the cleaning steps you want.
The feature will then show you the cleaned data in chat and allow you to create graphs using the Create graphs feature. You can share your data and visualizations with your chat partners, making it easy to discover patterns, trends, or relationships in your data.
![](https://aiforspecialists.com/wp-content/uploads/2023/07/pc4.jpg)
5. Turn a CSV file into a GIF
Turn a CSV file into a GIF is a feature of Code Interpreter that allows you to create an animated GIF from a CSV file in chat using Python libraries such as pandas, imageio, and ffmpeg.
This feature can be useful for showing changes or movements in your data over time, such as stock prices, weather data, or population data. You can use natural language commands to specify the path or URL of the CSV file you want to use and the columns you want to plot.
The feature will then create a GIF with each frame showing a different point in time and display it in chat. You can share your GIF with your chat partners, making it easy to illustrate or explain your data.
![](https://aiforspecialists.com/wp-content/uploads/2023/07/pc5.jpg)
6. Analyze a playlist to summarize your musical taste
Analyze a playlist to summarize your musical taste is a feature of Code Interpreter that allows you to get insights into your music preferences in chat using Python libraries such as spotipy, pandas, and seaborn.
This feature can be useful for discovering the genres, artists, songs, and audio features that define your musical taste, such as tempo, energy, danceability, or valence. You can use natural language commands to specify the name or URL of the playlist you want to analyze and the Spotify credentials you need to access the Spotify API.
The feature will then fetch the data from the playlist and show you a summary of your musical taste in chat, including graphs and statistics. You can share your summary with your chat partners, making it easy to compare or contrast your musical tastes.
![](https://aiforspecialists.com/wp-content/uploads/2023/07/pc6.jpg)
7. Turn your dataset into a fully-functioning HTML site
Turn your dataset into a fully-functioning HTML site is a feature of Code Interpreter that allows you to create a web page from your data in chat using Python libraries such as pandas, jinja2, and flask.
This feature can be useful for presenting your data in a more interactive and user-friendly way, such as adding filters, buttons, tables, or charts to your web page. You can use natural language commands to specify the path or URL of the dataset you want to use and the columns you want to display.
The feature will then generate an HTML template with the data and run a flask server to host the web page in chat. You can share your web page with your chat partners, making it easy to explore or share your data.
![](https://aiforspecialists.com/wp-content/uploads/2023/07/pc7.jpg)
8. Create a stock dataset that is downloadable
Create a stock dataset that is downloadable is a feature of Code Interpreter that allows you to collect and save stock data in chat using Python libraries such as yfinance, pandas, and requests.
This feature can be useful for getting historical or current data on stock prices, volumes, dividends, or splits for any ticker symbol or market index. You can use natural language commands to specify the ticker symbol or market index you want to get data for and the time period you want to cover.
The feature will then fetch the data from the Yahoo Finance API and save it as a CSV file in chat. You can download the CSV file to your device or share it with your chat partners, making it easy to analyze or use the stock data.
![](https://aiforspecialists.com/wp-content/uploads/2023/07/pc8.jpg)
9. Turn images into a text file
Turn images into a text file is a feature of Code Interpreter that allows you to extract text from images in chat using Python libraries such as pytesseract, PIL, and requests.
This feature can be useful for converting scanned documents, screenshots, or photos into editable text files.
You can use natural language commands to specify the path or URL of the image you want to use and the language you want to detect.
The feature will then use optical character recognition (OCR) to recognize and extract the text from the image and save it as a TXT file in chat. You can download the TXT file to your device or share it with your chat partners, making it easy to edit or use the text.
![](https://aiforspecialists.com/wp-content/uploads/2023/07/pc9.jpg)
10. Perform a detailed analysis of unformatted data
Perform a detailed analysis of unformatted data is a feature of Code Interpreter that allows you to clean, explore, and visualize unformatted data in chat using Python libraries such as pandas, numpy, seaborn, and sklearn.
This feature can be useful for finding insights, patterns, or relationships in your data, such as descriptive statistics, correlations, outliers, or clusters. You can use natural language commands to load your unformatted data from various sources, such as TXT files, HTML files, or web pages, and apply the analysis steps you want.
The feature will then show you the results of the analysis in chat, including tables, graphs, and summaries. You can share your results with your chat partners, making it easy to communicate or report your findings.
![](https://aiforspecialists.com/wp-content/uploads/2023/07/pc10.jpg)
It’s a wrap!
Here is a possible conclusion paragraph for your blog article:
Code Interpreter is a powerful and innovative tool that lets you write and run Python code in chat using natural language commands. It can help you perform various tasks, such as creating content, analyzing data, or automating processes, without leaving your conversation.
If you want to try Code Interpreter for yourself, sign up for ChatGPT Plus today and start coding in chat!