Christian Galo cgalo5758

Python venv virtual environment cheat sheet

Create a venv

To create a virtual environment, go to the root of your project and run

python -m venv venv

It will create a virtual environment called venv

Activate venv

.\venv\Scripts\activate

This is a prompt I built before finding out about LangChain. I didn't know how to pass documentation I found on a website as context to the LLM, so I first attempted to pass it as pure html. Because a web page's HTML in the modern web can often be a bit bloated, I couldn't pass it directly as context because some pages easily exceeded the size of even the largest context window I could find in any available chat model.

Second step? Attempt to convert these to markdown through conventional means. I tried using html2markdown, markdownify, and pandoc, but I wasn't satisfied with any of the results. So I came up with a solution:

The world's most expensive HTML to markdown utility: leverage LLMs and pass it a task to GPT-4 turbo.

                messages=[
                    {"role": "system", "content": "The user provides HTML content in chunks. Convert only the new chunk to Markdown. The previous messages are provided as context to maintain consistency."},
                    {"role": "user", "cont

	from pyairtable import Api
	import os

	# Replace these with your Airtable API key and Base ID
	AIRTABLE_API_KEY = 'YOUR_API_KEY_HERE'
	AIRTABLE_BASE_ID = 'YOUR_AIRTABLE_BASE_ID_HERE'
	TABLE_ID = 'YOUR_TABLE_ID_HERE'

	# Initialize the Airtable table
	api = Api(AIRTABLE_API_KEY)