andfanilo

import time

import mido
import streamlit as st

EMPTY_DEVICE_PLACEHOLDER = "-"
LIGHT_PLACEHOLDER = "Light!"
NOTE_PLACEHOLDER = "Wait for note"

andfanilo

import streamlit.components.v1 as components
mycomponent = components.declare_component(
    "mycomponent",
    path="./" # instead put index.html and __init__.py into mycomponent folder and put ./mycomponent. Gist does not like subdirectories
)

andfanilo

from pyspark.rdd import RDD
from pyspark.sql import Row
import streamlit as st
from utils import _initialize_spark

st.write("# :tada: Hello Pyspark")

spark, sc = _initialize_spark()
st.write("[Link to Spark window](http://localhost:4040)")

andfanilo

import subprocess
import streamlit as st

def run_command(args):
    """Run command, transfer stdout/stderr back into Streamlit and manage error"""
    st.info(f"Running '{' '.join(args)}'")
    result = subprocess.run(args, capture_output=True, text=True)
    try:
        result.check_returncode()
        st.info(result.stdout)

andfanilo

I've been digging in Cortex, just storing this for later ref:

• Locking object allowing for write once, read many operations
• LockedModel - For granting shared/exclusive (R/W) access to a model resource (model name + model version). Also applies global read lock on the models holder

Also dumping a lot of info on async, asyncio, run_in_threadpool, shared objects in FastAPI

• Best method for modifying global shared object safely - no answer :(
• Sync and Async issues
• Concurrency and async / await in FastAPI
• When you declare a path operation function with normal def instead of async def, [it is r

andfanilo

{
  "nodes": [
    {
      "id": "0",
      "name": "Myriel",
      "itemStyle": null,
      "symbolSize": 10,
      "x": null,
      "y": null,
      "attributes": {

andfanilo

import shap
import streamlit as st
import streamlit.components.v1 as components
import xgboost

@st.cache
def load_data():
    return shap.datasets.boston()

def st_shap(plot, height=None):

andfanilo

import numpy as np
from PIL import Image

from colornamer import get_color_from_rgb
import streamlit as st
from streamlit_cropper import st_cropper

st.set_option('deprecation.showfileUploaderEncoding', False)

st.title("Color namer demo")

andfanilo

{"v":"4.6.3","fr":30,"ip":0,"op":73,"w":250,"h":275,"nm":"B","ddd":0,"assets":[{"id":"comp_5","layers":[{"ddd":0,"ind":1,"ty":4,"nm":"Shape Layer 1","ks":{"o":{"a":0,"k":100},"r":{"a":0,"k":0},"p":{"a":0,"k":[125,137.5,0]},"a":{"a":0,"k":[0,0,0]},"s":{"a":0,"k":[100,100,100]}},"ao":0,"shapes":[{"ty":"gr","it":[{"ind":0,"ty":"sh","ix":1,"ks":{"a":1,"k":[{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"n":"0p833_0p833_0p167_0p167","t":1,"s":[{"i":[[0,0],[0,-39],[-1.736,-13.904],[0,0],[1,40],[0.816,16.41]],"o":[[0,0],[0,24.876],[1.461,0.915],[0,0],[-0.217,-8.687],[-0.948,-14.066]],"v":[[-50.5,-49],[-51.5,25],[-50.461,101.585],[-45,100.75],[-49.25,26.75],[-46.578,-23.525]],"c":true}],"e":[{"i":[[0,0],[0,-39],[-2.013,-13.914],[0,0],[-0.25,48.25],[1.394,16.184]],"o":[[0,0],[0,23.955],[1.122,3.104],[0,0],[0.588,-30.586],[-1.558,-14.417]],"v":[[-46,-48.875],[-46.75,23.25],[-45.721,99.703],[-36,95.375],[-41.875,27.875],[-35.594,-24.084]],"c":true}]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"n":"0p833_

andfanilo

import streamlit as st
import streamlit.components.v1 as components

app_state = st.experimental_get_query_params()
app_state = {k: v[0] if isinstance(v, list) else v for k, v in app_state.items()} 

image_url = st.sidebar.text_input("Image URL", "https://d2sofvawe08yqg.cloudfront.net/outstanding-developer/hero2x?1595108679")
bg_color = st.sidebar.beta_color_picker("Book color", "#01060f")
app_state['rotate'] = st.sidebar.slider("Rotate (deg)", 0, 45, 30)
app_state['rotate_hover'] = st.sidebar.slider("Rotate (hover) (deg)", 0, 45, 0)