Smart Python-to-R Converter Enhanced with Gemini AI Validation and Feedback

Intelligent Python-to-R Code Conversion

This tutorial demonstrates how to build a sophisticated converter that transforms Python code into R code, enhanced by Google's free Gemini API for validation and improvement suggestions. The core of this tool is a mapping of Python functions, libraries, and syntax to their closest R counterparts, combined with AI-driven analysis.

Setting Up the Environment

The process begins by importing essential Python libraries such as re, requests, and json for handling HTTP requests and data processing. The Gemini API key is set securely through an environment variable, enabling access to Google's AI services for code validation.

GeminiValidator Class for AI-Powered Validation

The GeminiValidator class encapsulates the logic for sending both the original Python and the converted R code to the Gemini API. It constructs a detailed prompt requesting:

• A validation score (0-100) assessing the accuracy of the conversion
• Identification of errors or issues
• Suggestions for improvements
• An improved version of the R code if applicable

The response is parsed in JSON format to extract the feedback, helping refine the R code conversion.

EnhancedPythonToRConverter Class: Conversion Pipeline

This class manages the entire transformation from Python to R, including:

• Mapping Python imports to R libraries
• Converting function calls (e.g., pandas to dplyr functions)
• Applying regex syntax patterns to adjust Python idioms to R syntax
• Converting pandas DataFrame operations to their dplyr/tidyr equivalents
• Translating matplotlib/seaborn plotting commands to ggplot2 syntax

The class integrates the GeminiValidator to optionally validate the conversion and incorporate AI-suggested improvements.

Usage and Demonstration

A helper function, setup_gemini_key(), guides users through obtaining and configuring their free Gemini API key. The demo_with_gemini() function illustrates the converter in action using a sample Python data analysis script. It performs the conversion, invokes Gemini AI for validation if the API key is set, and prints the original Python code, converted R code, and validation feedback.

Google Colab Setup

For users running this in Google Colab, colab_setup() provides step-by-step instructions for installing dependencies, setting the API key, and running the demo.

Summary

This tool effectively translates analytical Python scripts into R, leveraging Gemini AI to validate and enhance the converted code. It streamlines cross-language workflows, ensuring accurate and efficient transformations backed by AI-driven quality checks.