Unleashing the Power of GPT 4 for Auto Coding

Table of Contents

1. Introduction
2. How the App Works
3. Selecting the Number of Processes
4. Choosing an Idea for a Python Project
5. Generating Code for Process One
6. Iterative Improvement for Process One
7. Generating Code for Process Two
8. Iterative Improvement for Process Two
9. Generating Code for Process Three
10. Improving an Existing File for Process Three
11. Selecting a Web Scraper Idea for Process Four
12. Iterative Improvement for Process Four
13. Comparing Generated Code
14. Using the Debugger
15. Using the Command Line Interface
16. Streamlined and Radio Interfaces
17. Token Counter
18. Self-Improvement and Recursive Approach
19. Conclusion

Introduction

Hello everyone! In this article, I will be introducing You to an exciting app that I built called GPT4 Autocoder and Self-Improver. This app utilizes GPT to generate code for us and improve our existing code. I'll explain how it works step by step, so let's dive in!

How the App Works

The app allows us to select the number of processes we want to initiate in Parallel. This can be any number, and as we increase it, more processes are created that we can define. We can either enter an idea for a Python project or leave it blank for a random suggestion. The app then generates the idea and creates the code for it. Each process goes through iterations of improvement, adding new features and error-catching mechanisms. The generated code is saved in separate folders for each process.

Selecting the Number of Processes

To start, we need to select the number of processes we want to run in parallel. This determines how many ideas and code will be generated simultaneously. Once selected, the app Prompts us to choose whether we want to improve an existing file for each process or generate a new code. We can select different options for each process, allowing for a flexible approach.

Choosing an Idea for a Python Project

For each process, we have the option to enter our own idea for a Python project or leave it blank for a random suggestion. The app then generates an idea Based on our input or provides a random project idea. We can get creative with our ideas or let the app surprise us with new possibilities.

Generating Code for Process One

After selecting an idea or generating a random one, the app proceeds to generate the initial code for process one. This code is written in a code block between triple backticks. We can review the code and make adjustments if needed. The app saves the generated code in a designated folder for process one.

Iterative Improvement for Process One

Once the code is generated, the app offers to improve upon it. We can select the number of iterations of improvement we want for process one. Each iteration adds new features, error-catching mechanisms, and code enhancements. The improved code is saved in separate files within the process one folder.

Generating Code for Process Two

Moving on to process two, we can again choose to enter an idea or leave it blank for a random suggestion. The app generates the code for process two based on our input or a random idea. The generated code includes functionalities specific to financial data computations, such as calculating mean, median, and mode. This code, along with subsequent iterations, is saved in the process two folder.

Iterative Improvement for Process Two

Similar to process one, we have the option to improve the code generated for process two. We can select the number of iterations of improvement we desire, and the app takes care of enhancing the code with additional features, error-catching mechanisms, and data analysis functions. The improved code is saved in separate files within the process two folder.

Generating Code for Process Three

Process three allows us to select an existing file for improvement. We can choose from the files we have generated so far or provide our own file. The app then takes this file and generates improved versions of it. This can include adding new functionalities, error handling, and code optimization. The generated code is saved in the process three folder.

Improving an Existing File for Process Three

For process three, we can specify the number of iterations of improvement we want for the selected file. This allows us to continuously enhance the file's functionality, readability, and error handling. The app iteratively improves the file and saves each iteration in separate files within the process three folder.

Selecting a Web Scraper Idea for Process Four

Moving on to process four, we can select a web scraper idea. This could involve extracting data from websites, handling HTTP requests, and parsing HTML documents. We can enter our own idea or leave it blank for a random suggestion. The app generates the initial code and prepares it for iterative improvement.

Iterative Improvement for Process Four

For process four, we can specify the number of iterations of improvement we want for the web scraper code. Each iteration expands the functionality, improves error handling, and enhances the code style. The app saves each iteration in separate files within the process four folder.

Comparing Generated Code

Throughout the app's processes, we can compare the generated code to track the changes and improvements. We can select two files, right-click, and use the compare selected option to view the differences between them. This allows us to see how the code has evolved and detect any new additions or modifications.

Using the Debugger

In addition to the self-improvement feature, the app includes a debugger. The debugger runs the code and captures any error messages. It then feeds these error messages back to GPT along with the code prompt. This enhances the iterative improvement process by addressing potential errors and bugs.

Using the Command Line Interface

The app provides a command-line interface (CLI) for ease of use. By running the provided code, we can Interact with the app directly from the command line. This allows for seamless navigation and execution of the processes.

Streamlined and Radio Interfaces

To further streamline the user experience, I have built streamlined and radio interfaces for the app. These interfaces provide a more user-friendly way to interact with the app's features. Streamlit and BigRadio are used to Create these interfaces, making it easier to select options, input ideas, and track the progress of the code generation and improvement processes.

Token Counter

To keep track of the number of tokens used in the code generation and improvement processes, I have included a token counter function. This function counts the tokens present in a given STRING and prints the token count at the end. It can be used to manage token usage and avoid potential limitations.

Self-Improvement and Recursive Approach

One of the most fascinating aspects of the app is its self-improvement capability. By giving the app its own code, we can initiate the self-improvement process. The app takes its own code, generates new ideas, and iteratively improves upon them. This recursive approach allows for an endless cycle of code generation and improvement.

Conclusion

In conclusion, the GPT4 Autocoder and Self-Improver app is a powerful tool for generating code and enhancing existing code. It utilizes the capabilities of GPT to provide creative project ideas, generate code, and improve upon it iteratively. With multiple processes running in parallel and user-friendly interfaces, the app offers a seamless experience for developers and AI enthusiasts. Start using the app today and unlock a new level of efficiency and creativity in your coding projects.