An AI model is like a digital brain that has been trained to learn from data and make predictions or decisions. It's a set of algorithms that takes in data, learns from it, and then applies what it's learned to new data to generate outputs.

In the article, we'll quickly guide you through creating your own AI model using ChatGPT, a powerful language model by OpenAI.

By following the steps, you'll understand how developers set up the necessary environment, write code to interact with ChatGPT, and create a user-friendly interface for AI applications. This way, even with minimal coding experience, you'll be able to at a minimum understand and possibly build and test your own AI applications.

For any advice or help building applications, follow and reach out to us on Twitter/X at @startmyidea

1. Sign up for ChatGPT API at OpenAI's website: OpenAI.com

• Head over to the OpenAI website and create an account by providing your basic details like name and email address.
• Once signed up, you'll get access to the ChatGPT API which is the foundation for building your AI model.

2. Set up a Virtual Environment:

• Establish a segregated environment on your machine, ensuring a clean, controlled setting for your project, aiding in dependency management.
• A virtual environment is like a sandbox for your project, keeping dependencies required by different projects separate.

3. Install Required Libraries:

• Utilize pip to install requests, openai, and gradio, essential libraries that facilitate interaction with the API and user interface creation.

4. Get API Key from OpenAI:

• Navigate through your OpenAI account settings to obtain your unique API key, which serves as a passport for authorized API requests.

5. Create a New Python File:

• Draft a new Python script which will serve as the playground for your interactions with the ChatGPT API.

6. Set Up Authorization with OpenAI:

• Within your script, employ your API key to establish a secure channel for communication with OpenAI's services.

7. Create Functions to Send Requests to ChatGPT API:

• Designate specific functions within your script to handle the dispatch and reception of data to and from the ChatGPT API.

8. Install and Setup Gradio:

• Gradio will help you create a user interface for your application.
• With your own data, put together an Input and Output.
• Seamlessly incorporate Gradio, creating a function embodying your model logic, then construct and inaugurate a Gradio interface to provide an interactive user experience.

9. Build your model with your own data:

• See this Article Here on fine-tuning your AI. This is what we will use to build your model with your own data.
• The model will look something like this:

{"prompt": "<prompt text>", "completion": "<ideal generated text>"}
{"prompt": "<prompt text>", "completion": "<ideal generated text>"}
{"prompt": "<prompt text>", "completion": "<ideal generated text>"}

9. Test Your Application:

• Execute your script, engage with the Gradio interface, and revel in the first responses with your newly created AI application built with your own model.
• A Gradio interface will open in your web browser, where you can type text prompts and see the responses generated by your chatbot.