Avoid Mistakes in OpenAI CLI - Error Fix [4]

Table of Contents

1. Introduction
2. Authorization Process
3. Request Phase
4. Retraining a Model
5. Advantages of Retraining
6. Displaying Code Blocks
7. Incomplete Features
8. Seeking User Feedback
9. Conclusion

Article

Introduction

Hey everyone! Welcome back to my Channel. Today, I wanted to give You an update on my Terminal GPT project, which is my version of utilizing OpenAI API directly on your terminal. In this video, I will be explaining the various processes involved and the new features I've been working on.

Authorization Process

When we start Terminal GPT, the first step is the authorization process. We verify if there are any saved API keys on the CPU (your computer). If there are no saved keys, we request an authentication key from you. Once you provide the key, we save it for future use. If you have already saved a key before, we capture it and move on to the next phase.

Request Phase

The request phase is where we use the saved API key to send a completion request to OpenAI. Based on your prompt, OpenAI provides an answer. With the new version of Terminal GPT, we also capture the previous conversation Context, allowing OpenAI to generate responses based on the entire conversation history.

Retraining a Model

One of the challenges with using OpenAI is the token limit for each conversation. This limit can be reached quickly in a single conversation. To overcome this limitation, I have implemented a process to retrain the model. After each conversation, we save the conversation context as a JSON file on your machine. If required, you can retrieve this file and send it back to OpenAI to pre-train the data in the model.

Advantages of Retraining

The retraining process offers several advantages. By reducing the amount of context added during a conversation, we can have longer and more Meaningful interactions with the chatbot. The retrained model allows us to Continue the conversation seamlessly, without reaching the token limit imposed by OpenAI.

Displaying Code Blocks

In the next phase of development, I aim to enhance the user experience by displaying code blocks in the terminal. When OpenAI generates a response containing code snippets or functions, the terminal will treat it as a block of code. Users will be able to click a button to copy the code, eliminating the need to manually select and copy the code.

Incomplete Features

I apologize for not being able to finish the desired features in this video. The opt-in functionality and the ability to copy code directly from the terminal will be worked on in the future. These features are crucial for enabling users to have endless conversations with OpenAI on the terminal.

Seeking User Feedback

I encourage you to provide your feedback on the progress so far. If you have any comments, questions, or suggestions, please leave them in the comments section below. Your input will greatly help me improve the project and deliver a better user experience.

Conclusion

That's all for today's update on Terminal GPT. I apologize for not being able to accomplish more, but I will continue working on the pending features. If you want to stay updated on the progress, make sure to subscribe to my channel and hit the like button. Thank you for watching, and I'll see you in the next video. Bye!