Build your own Custom GPT Content Generator | Open-Source ChatGPT Alternative

Education

Introduction

Hello developers! Today, we are going to embark on an exciting journey to build a custom GPT content generator. By the end of this article, you will have a functioning model that you can integrate into your own projects. To help us achieve this, we’ll be using a tool known as the Candy Kit.

What is a Candy Kit?

The Candy Kit is a one-click install kit that provides a ready-to-deploy solution with complete source code. You can find various other Candy Kits covering areas like augmented reality, artificial intelligence, blockchain, gaming, and much more. Today, we will focus on a particularly popular Candy Kit: the GPT Content Generator one-click install kit. This open-source kit comes with a permissive license, allowing you to freely edit, customize, and share your unique solution.

Getting Started

Let’s dive into the process. Over to you, Pooja, for a hands-on walkthrough.

Prerequisites

To build this generative bot on your local system, you will need the following:

  1. Llama CPP: These are your Python bindings for the C language.
  2. Gradio: A library for creating interactive applications.

Luckily, everything you need is already included in the Candy Kit. Over the next few minutes, we will cover two key aspects: downloading and installing the kit, and then demonstrating the kit’s source solution.

Installation Steps

  1. Download the Kit: Check the description for the link to the installable kit.
  2. Access Deployment Information: You can find deployment instructions for various operating systems within the kit.
  3. Run the One-Click Installer: Click on the one-click installer, which will set up the required dependencies and prerequisites on your system.

After clicking the installer, unzip the downloaded file by navigating to your local directory where you saved it. Right-click on the zipped folder and select "Extract All." Once extracted, double-click on the folder and locate the batch file.

Click "More Info" and select "Run Anyway" to begin setting up your system. As the installation progresses, you may need to say yes to various prompts for additional requirements.

Note

This model will be downloaded locally on your system and may take some time depending on your internet speed. Ensure that you have at least 4 GB of space available on your machine to accommodate this large language model.

After successfully setting up all requirements, a Jupyter notebook will automatically open on your system. The first cell you see will include necessary libraries, where the required CPP bindings and the interface will be imported.

Building the Generative Bot

Once you have everything in place, you can start creating an interface for your GPT bot. This chatbot will be trained on a large dataset, consisting of assistance data, code snippets, and dialogue, enabling you to perform a Q&A-like interaction.

The next crucial part is writing the generate method, which accepts several parameters: instruction, maximum number of tokens, temperature, top P value, and repeat penalty. These parameters play a key role in determining the randomness and uniqueness of the generated output.

With the Gradio interface included, you can create text boxes where users can enter their questions, alongside sliders and toggles to adjust the response length, creativity, and randomness level of the output. After setting up the interface, you can launch it in your browser.

Testing the Model

Once the model is launched, users can enter their questions. For example, you could ask it to generate a blog post of 100 words on the topic of generative AI. The model will process the input and provide a response based on the parameters previously set.

In another example, if you wanted to create a LinkedIn post congratulating a company on winning an award, you could simply enter that request, and the model would generate a relevant response.

The GPT content generator can be a powerful tool for generating a wide variety of content, similar to any other GPT models, and will keep producing text until it reaches the predefined token limit.

Conclusion

I hope you found this walkthrough interesting and informative! The GPT Content Generator kit alongside many other ready-to-deploy kits can be found in the video description. Explore Candy to create incredible projects in augmented reality, artificial intelligence, blockchain, gaming, and more. Don't forget to subscribe and join the OpenWeaver community of developers to discover and build more amazing projects.

Thank you for reading, and happy developing!

Keywords

  • GPT Content Generator
  • Candy Kit
  • Open-source
  • Llama CPP
  • Gradio
  • Local Machine
  • Content Generation
  • Jupyter Notebook
  • Installation Steps
  • Customization

FAQ

Q1: What is a Candy Kit?
A: A Candy Kit is a one-click install kit that offers a complete source code solution for various technologies, making it easy to deploy projects.

Q2: What do I need to install before using the GPT Content Generator?
A: You need Llama CPP for Python bindings and Gradio for creating interactive applications, both of which are included in the Candy Kit.

Q3: Can I customize the GPT Content Generator?
A: Yes, the open-source nature of the Candy Kit allows you to freely edit, customize, and share your generated solution.

Q4: How long does the installation take?
A: The installation time varies based on your internet speed and system configuration, typically requiring at least 4 GB of space on your local machine.

Q5: What types of content can the model generate?
A: The model can generate various types of content, including blog posts, social media updates, and more based on user prompts.