ChatGPT VS liboai

Be careful. Back when ChatGPT was in beta, a similar project was resulting in mass account bans. They really don't like people using unofficial APIs.

I use chatgpt, and I mainly use a tool on github called ChatGPT , which is basically a reverse engineered one that you could use on your terminal with your ChatGPT API key. So i thought on running the tool and ask it, this was the first response I got

Have a look at this project. Also worth checking out his other repos, such as this one (not sure what exactly is different) or this one for the bing chat.

Or https://github.com/acheong08/ChatGPT of course.

Sure, first thing is to get this in V1 mode running such that you can chat via the command line. This is currently not working for me though, could be because OpenAl changed something on their chat site or because I'm messing something up. One that is running I can show you how to setup a small project locally that looks like the OpenAl API but then relays queries to the reverse engineered chat API using the ChatGPT package

What does this repo https://github.com/acheong08/ChatGPT actually do? I thought in the end it gives me an API key that I can use for apps that work with the GPT-API, but that is stated nowhere on the repo.

I asked chatGPT to code a 2 speaker debate function using the unofficial API from revChatGPT ( https://github.com/acheong08/ChatGPT )

About chatgpt-wrapper, I think you can migrate to https://github.com/acheong08/ChatGPT. It is lighter with a query limit, but I think it is still good.

Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.

1.OpenAI API

OpenAI Account – make an OpenAI Account here

Their big advantage is that they can quickly deal with data they’ve never seen before and scale. NVIDIA and Open AI are currently leading providers of such technologies. Read more.

You need an API key https://openai.com/api

To run ChatGPT, you need access to OpenAI’s API3, which provides a cloud-based platform for interacting with various models, including ChatGPT. You can sign up for an account and request access to the API here: https://openai.com/api/

To get started, go to OpenAI and create an account. After that, click on your profile on the top right corner, and select view API keys.

As far as I know the ChatGPT API isn’t public yet. However you can use the GPT3 version from OpenAI which do have an API you can connect to. The Davinci-003 text model is pretty damn good. https://openai.com/api/ for more info

GPT-3: GPT-3 is an advanced language generation model developed by OpenAI. It is capable of generating high-quality human-like text with a high degree of coherence and coherence. The model has been trained on a vast corpus of text, making it capable of generating text across a range of topics. GPT-3 can be used for a variety of content creation tasks such as blog posts, articles, and social media updates. One of the most significant advantages of using GPT-3 is that it can save a significant amount of time when creating content. The model can generate text much faster than a human writer, and the output can be used as a starting point for further refinement.