| from typing import Literal | |
| import streamlit as st | |
| from streamlit.components.v1 import html | |
| FIXED_CONTAINER_CSS = """ | |
| div[data-testid="stVerticalBlockBorderWrapper"]:has(div.fixed-container-{id}):not(:has(div.not-fixed-container)) {{ | |
| position: {mode}; | |
| width: inherit; |
| """ | |
| a script in Python that given a directory path as input, converts all images in the directory to PDF files. Several other argswitches are available for convenience. | |
| """ | |
| import argparse | |
| import logging | |
| import os | |
| import pprint as pp | |
| import sys |
| """ | |
| define fn for extracting articles | |
| Example usage: | |
| url = 'https://www.businessinsider.com/hundreds-google-workers-walk-out-zurich-protest-over-layoffs-2023-3' | |
| markdown = extract_article(url) | |
| print(markdown) | |
| """ |
| # -*- coding: utf-8 -*- | |
| """ | |
| caption_image.py - basic captioning example using lavis | |
| usage: caption_image.py [-h] -i IMAGE_PATH [-m MODEL_TYPE] [-d DEVICE] [-v VERBOSE] | |
| # lavis | |
| https://github.com/salesforce/LAVIS | |
| """ |
I want you to act as a hypothetical python package generator and engineer. Create a python package called “remind”
As a text-based AI, I am unable to create actual Python packages or code files. However, I can help you design the structure of the package and provide you with code snippets that you can use to create the package yourself.
Package name: remind
Description: A Python package to create, manage, and schedule reminders for tasks and events.