asehmi

# UPDATED: 5-MAY-2023
from multiprocessing import Pool, freeze_support
from time import sleep

import streamlit as st

# https://discuss.streamlit.io/t/stqdm-a-tqdm-like-progress-bar-for-streamlit/10097
# pip install stqdm
from stqdm import stqdm

asehmi

import streamlit as st

# callback to update query param on selectbox change
def update_params():
    st.experimental_set_query_params(option=st.session_state.qp)

options = ["cat", "dog", "mouse", "bat", "duck"]

query_params = st.experimental_get_query_params()

asehmi

import streamlit as st
import time

st.set_page_config(
    page_title='Pomodoro',
    layout='centered',
    page_icon='🍅'
)

def count_down(ts):

asehmi

import streamlit as st
import base64
import textwrap

# https://gist.github.com/treuille/8b9cbfec270f7cda44c5fc398361b3b1
def render_svg(svg):
    """Renders the given svg string."""
    b64 = base64.b64encode(svg.encode('utf-8')).decode("utf-8")
    html = r'<img src="data:image/svg+xml;base64,%s"/>' % b64
    st.write(html, unsafe_allow_html=True)

asehmi

# UPDATED: 2 May 2022

import streamlit as st
# https://discuss.streamlit.io/t/streamlit-option-menu-is-a-simple-streamlit-component-that-allows-users-to-select-a-single-item-from-a-list-of-options-in-a-menu
# https://icons.getbootstrap.com/
from streamlit_option_menu import option_menu

st.set_page_config(page_title='Muti-page app example', layout='wide')

def do_upload_tasks():

asehmi

import streamlit as st
import time
import numpy as np

progress_bar = st.sidebar.progress(0)
status_text = st.sidebar.empty()
last_rows = np.random.randn(1, 1)
chart = st.line_chart(last_rows)

for i in range(1, 101):

asehmi

import streamlit as st

def main():

    st.title('Component Auth0')
    st.write('### Demo')
    st.image('https://i.ibb.co/MCvTXjh/streamlitcomponent-demo.gif')
    st.write('### Capabilities')
    st.image('https://i.ibb.co/T2471pb/capabilities.png')
    st.write('### Architecture')

asehmi

# https://discuss.streamlit.io/t/selection-is-sometimes-not-returned-from-custom-widgets/21202

import streamlit as st
# https://github.com/PablocFonseca/streamlit-aggrid
from st_aggrid import AgGrid, GridOptionsBuilder
import pandas as pd
import numpy as np

np.random.seed(42)

asehmi

import json
import random
import time

import streamlit as st
# pip install streamlit-echarts
from streamlit_echarts import st_echarts

st.title("I ❤️ ECharts")

asehmi

# See this thread: https://discuss.streamlit.io/t/best-fastest-practice-to-display-live-2d-data/19895
# Code below is lifted from @andfanilo's comment

# https://realpython.com/async-io-python/#using-a-queue
import asyncio
from datetime import datetime

# pip install opencv-python-headless
import cv2
import numpy as np