chatgpt-google-extension VS llm-workflow-engine

Like this one? ChatGPT for Google (chatgpt4google.com)

there is way use chatgpt api, for example you can see how to do it here https://github.com/wong2/chatgpt-google-extension

I want to reproduce what The extension https://chatgpt4google.com/ is able do. I need to log into my chatgpt account once, and then all the google queries are taken as prompt and output is shown for them and it doesn't even exhaust the credits.

For those interested, I think chatgpt4google[1] has a much cleaner implementation and works on a wide range of search engines and browsers. They also have an option to switch the searchengine from ChatGPT to OpenAI GPT3

[1] https://chatgpt4google.com/

Glad to see innovations based on my work https://github.com/wong2/chatgpt-google-extension

You can call ChatGPT API like other GPT-3 APIs now, with the model name: text-chat-davinci-002-20230126. I've integrated it with my open source extension https://github.com/wong2/chatgpt-google-extension

I use https://chatgpt4google.com

I want to turn on my mic and see my words show up in my active terminal tab. App-agnostic is good but app-specific would work; this is for chatgpt input with https://github.com/mmabrouk/chatgpt-wrapper. right now i'm using chatgpt in browser with speech-to-text browser extension and I would prefer not to. advice regarding older hardware applies here, but also interested in cutting edge for powerful pcs. Any guidance, links to guides valued.

There are more popular Python projects for ChatGPT: https://github.com/mmabrouk/chatgpt-wrapper

Shameless plug here for those (like the author) who are using GPT in your projects and finding the costs to be too high.

I've built an open source wrapper around ChatGPT that lets you use it programmatically as an API or from Python or in CLI. Best of all, it's completely free! So it is great for testing the waters on a hobby project.

Check it out on GitHub: https://github.com/mmabrouk/chatgpt-wrapper

Never worry about exceeding hourly submit times, as the tool waits until it can run again. In short, the ChatGPT Batch Whipper tool is an efficient and user-friendly way to perform batch jobs with ChatGPT. We welcome any feedback or suggestions you may have, so give it a try and see how it can improve your workflow! Thanks to @mmabrouk some of codes were inspired and modified from his repo.

the wrapper I'm using is https://github.com/mmabrouk/chatgpt-wrapper, which is awesome (no credit to me). I just wrote a bash script to wrap around the wrapper :P.

chatgpt-wrapper: API for interacting with ChatGPT using Python and from Shell.

What is the best way to quickly install Python repos like chatgpt-wrapper using Nix?

You may have seen people write tools that use the chat gpt engine, but they all work by automating a browser connected to https://chat.openai.com/chat (e.g. chatgpt.py).