pls
searchGPT
pls | searchGPT | |
---|---|---|
15 | 3 | |
138 | 570 | |
- | - | |
5.4 | 7.2 | |
6 months ago | about 1 year ago | |
Shell | Python | |
MIT License | MIT License |
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pls
- Natural language to CLI commands.
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I made a CLI to convert natural language to terminal commands
GitHub: https://github.com/MxDkl/pls
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Let chatGPT execute terminal commands?
pls is one to check out. I normally strip the part where it executes the code, but you can do what you want.
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Success making beautiful web layouts?
I've had it spit out a few websites. Basically, I adapted 'pls' to spit out nothing but HTML.
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Prompt advice for ChatGPT4
Is it basically like pls then?
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ChatGPT 'quick search' client?
For the command line, there's the simple web call that pls does. That's a bash script. It only currently handles one question, with no history.
- aicmd - A CLI copilot that helps you write shell commands using natural language
- CLI to convert natural language to terminal commands
searchGPT
What are some alternatives?
chatgpt-cli - Simple yet effective command line client for chatting with ChatGPT using the official API
chatGPT-cheatsheet - An ever-evolving introduction to ChatGPT, AI, and machine learning (including prompt examples and Python-built chatbots)
ChatGPT-for-bash - Using ChatGPT to convert natural language descriptions into bash commands
chatgpt-extractive-shortener - Shortens a paragraph of text with ChatGPT, using successive rounds of word-level extractive summarization.
thefuck - Magnificent app which corrects your previous console command.
gpt4docstrings - Generating Python docstrings with OpenAI ChatGPT!!
ai-template - Mercury - Train your own custom GPT. Chat with any file, or website.
AutoLearn-GPT - ChatGPT learns automatically.
llm-leaderboard - A joint community effort to create one central leaderboard for LLMs.
aidoc - A simple CLI tool to generate documentation for your Python projects automatically.
gmail-assist - Get control of your overflowing inbox using GPT-3 to classify your emails by importance.
embedchain - Personalizing LLM Responses