Text Generator with AI di Rust - Part 1

Introduction

Introduction

In this live stream, Muhammad Dimas Prasetyo, affectionately known as Bang Ridwan, explores the process of building a text generator application using Rust and AI. The setting is unique as he shares insights and technicalities directly from a server room. This article chronicles the live coding session that focuses on developing a text generator reminiscent of a game state.

Server Room Challenges

During the live stream, Muhammad mentions the challenging acoustics of the server room, which creates background noise as he works. This environment is not typical for live streams, adding a layer of authenticity to the session as he interacts with viewers and addresses their comments.

The Project

The primary goal of the session is to create a text generator styled like a game state. Muhammad starts by introducing a module called 'Adventure', which he will implement as part of the generator. The aim is to set the game settings related to various parameters such as difficulty, genre, and length.

Setup and Coding Process

Muhammad steps through the coding process meticulously. He begins by creating the structure of the game state, saving it, and ensuring everything runs correctly without errors. Along the way, he engages with the audience, answering questions and encouraging involvement, providing a glimpse into his coding logic and workflow.

Key Components

1. Adventure Module: Muhammad creates an 'Adventure' module with settings for:

   • Difficulty (Easy, Medium, Hard)
   • Genre (Fantasy, Sci-Fi, Horror)
   • Length (Short, Medium, Long)

2. AI Integration: The project involves integrating AI to generate random text based on user-selected settings. Muhammad discusses using a local endpoint for AI and the importance of managing CPU resources, given the limitations of his hardware.

3. Functionality: Key functions like generating and loading adventures are implemented, with a focus on serialization and deserialization in Rust, which allows the converter to handle inputs and outputs effectively.

Community Interaction

Throughout the stream, Muhammad interacts with his viewers, answering questions about programming languages, tools (such as NeoVim), and the functionality of the code being written. This part of the session is characterized by playful banter, shared experiences, and practical advice for developing software in Rust.

Conclusion

The live coding session concludes with Muhammad showcasing the progress made on the text generator, highlighting the crucial aspects of Rust programming, AI application, and module structuring. Viewers are encouraged to reflect on the coded logic while looking forward to further developments in upcoming streams as they explore the integration of AI in Rust programming.

Keywords

• Text Generator
• AI
• Rust
• Adventure Module
• Difficulty Settings
• Genre Settings
• Length Settings
• Serialization
• Deserialization

FAQ

What is the main focus of the stream? The main focus is to develop a text generator application using Rust and AI.

What programming language is being used? The programming language used is Rust.

How does the text generator work? The text generator utilizes AI to create random text based on user-defined settings such as difficulty, genre, and length.

Is there interaction with viewers during the session? Yes, there is active interaction with viewers, where Muhammad answers questions and engages with their comments.

What type of settings can users customize? Users can customize the difficulty, genre, and length of the adventure generated by the text generator application.