johnmurch

let url = "https://www.amazon.com/SanDisk-128GB-microSDXC-Memory-Adapter/dp/B073JYC4XM/";
let kwparse = (url.replace('https://','').replace('http://','').replace('www','').replace('com','').split('-').join().split('/').join().split('.')).join(',').replace(/^,/, '')
let kwuniq =  [...new Set(kwparse.split(','))].filter(function(e){return e}); 
console.log(kwuniq)
// ["amazon", "SanDisk", "128GB", "microSDXC", "Memory", "Adapter", "dp", "B073JYC4XM"]

// Hat Tip - Find a cleaner version at https://gist.github.com/dsottimano/52060e6a43d96804f33c59366c472305

hamletbatista

# Scrape Shopify themes using scrapy.org
#!pip install scrapy

#%%writefile shopify_theme_spider.py

import scrapy

class ShopifyThemeSpider(scrapy.Spider):
    name = 'bshopifyspider'
    start_urls = ['https://themes.shopify.com/themes?page=1']

CharlyWargnier

function ConnectButton(){
    console.log("Connect pushed"); 
    document.querySelector("#top-toolbar > colab-connect-button").shadowRoot.querySelector("#connect").click() 
}
setInterval(ConnectButton,60000);

frankie567

import asyncio

import streamlit as st
from httpx_oauth.clients.google import GoogleOAuth2

st.title("Google OAuth2 flow")

"## Configuration"

client_id = st.text_input("Client ID")

natzir

natzir

natzir

ines

"""
Example of a Streamlit app for an interactive Prodigy dataset viewer that also lets you
run simple training experiments for NER and text classification.

Requires the Prodigy annotation tool to be installed: https://prodi.gy
See here for details on Streamlit: https://streamlit.io.
"""
import streamlit as st
from prodigy.components.db import connect
from prodigy.models.ner import EntityRecognizer, merge_spans, guess_batch_size

tvst

"""Hack to add per-session state to Streamlit.

Usage
-----

>>> import SessionState
>>>
>>> session_state = SessionState.get(user_name='', favorite_color='black')
>>> session_state.user_name
''

pshapiro