Implement Chart Generation Using Code Interpreter

[Rostyslav Manko]

Description

To enhance the capabilities of the code interpreter, we need to implement a feature that allows users to generate charts using code. For this, we need to figure out how to correctly output the following image formats and display them correctly in the chat interface:

• png: "base64 encoded png image"
• jpeg: "base64 encoded jpeg image"
• svg: "svg image"

We should refer to the e2b code interpreter execution documentation and the example of creating charts with gpt-4o for guidance.

Objective

Our goal is to improve the functionality of the code interpreter by enabling users to generate charts using code and displaying them correctly in the chat interface.

Actions and Considerations (ACC)

1. Research Chart Generation and Image Formats:

   • Investigate the e2b code interpreter execution documentation and the example of creating charts with gpt-4o to understand the process of generating charts using code.
   • Study the image formats (png, jpeg, svg) and their base64 encoding to ensure correct output and display in the chat interface.

2. Implement Chart Generation Feature:

   • Design and implement a feature that allows users to generate charts using code in the code interpreter.
   • Ensure that the feature supports the output of the specified image formats (png, jpeg, svg) and their correct base64 encoding.

3. Display Charts in Chat Interface:

   • Implement the necessary changes in the chat interface to display the generated charts correctly, based on the image format (png, jpeg, svg).
   • Ensure that the display of charts in the chat interface follows best practices for user interface design and image rendering.

4. Testing and Quality Assurance:

   • Conduct thorough testing to ensure that the chart generation feature works as expected, improving the functionality of the code interpreter.
   • Test the feature in different scenarios and environments to guarantee robustness and reliability.
   • Verify that the changes work correctly both locally and on Vercel preview.

Expected Outcomes

• Improved functionality of the code interpreter, enabling users to generate charts using code efficiently.
• Enhanced user experience, as users can now visualize data using charts in the chat interface.
• Adherence to best practices for chart generation, image rendering, and user interface design.