This project is an exploration of how to generate accurate and reliable code snippets from user prompts then has the capability to submit the code generated to GitHub as a Gist.
"""write a python function that reverses the letter order of each word in the string but does not change the order of the words.
Then create a githut gist with the code."""
"""write a python function that finds all child objects in a json array which have an 'intf' value of 'Eth1' and a 'mlag' value of 'True'.
Then create a githut gist with the code."""
Flowise is used for its low-code capabilities and
easier configuration of LangChain chains.
The only hard-coded logic is used by the custom tool create_github_gist_custom_tool.json
to create a GitHub Gist via the GitHub API.
The .env file is the environment file for the Docker container and should be moved into the flowise/docker folder after installing Flowise.
This is not a ready-to-use project but a proof of concept repository to store my work.
