(function)defoption_menu(menu_title:Any,options:Any,default_index:int=0,menu_icon:Any|None=None...
原理如下：使用requests.get构造一个请求，把我们要查询的内容发送到指定的网址然后使用json.loads功能把返回的对象转换为json对象最后从json格式数据中提取出我们自己需要的key和paraphrase对象值elif choose == "翻译": selecte3 = option_menu(None, ["单词翻译"], icons=['house'], menu_icon="cast"...
importstreamlitasstfromstreamlit_option_menuimportoption_menu# 1. as sidebar menuwithst.sidebar:selected=option_menu("Main Menu", ["Home",'Settings'],icons=['house','gear'],menu_icon="cast",default_index=1)selected# 2. horizontal menuselected2=option_menu(None, ["Home","Upload","Tasks"...
#load packages import streamlit as st import requests from streamlit_option_menu import option_menu from rdkit import Chem from rdkit.Chem import Draw from mordred import Calculator, descriptors from supervised.automl import AutoML import pandas as pd import numpy as np import time import hashlib ...
import streamlit as st st.set_page_config( page_title="Ex-stream-ly Cool App", page_icon="🧊", layout="wide", initial_sidebar_state="expanded", menu_items={ 'Get Help': 'https://www.extremelycoolapp.com/help', 'Report a bug': "https://www.extremelycoolapp.com/bug", 'About'...
fromstreamlit_option_menuimportoption_menu # 设置Streamlit应用程序的标题 st.set_page_config(page_title='app name', layout='wide') menu1='菜单1' menu2='菜单2' withst.sidebar: menu = option_menu('菜单', [menu1, menu2], icons=['house','list-task'], ...
menu = option_menu("菜单", [menu1, menu2], icons=['house', "list-task"], menu_icon="cast", default_index=0) def main(): if menu == menu1: st.subheader(f"{menu1}") if menu == menu2: st.subheader(f"{menu2}")
menu1="显示dataframe"menu2="显示折线图"menu3="显示地图"menu4="显示进度条"menu5="大语言模型LLM对话框"with st.sidebar: menu = option_menu("功能分类", [menu1, menu2,menu3,menu4,menu5], icons=['house', "list-task"], menu_icon="cast", default_index=0) def main(): if menu ==...
')# Add an option menuselected=option_menu(menu_title=None,options=["Option1","Option2","Option3","Option4"],icons=["cast","cloud-upload","cast"],default_index=0,orientation="horizontal",)st.markdown("Welcome to my app...")# Add an expender to your appst.markdown("""\n""...
The function returns the (string) option currently selected Example import streamlit as st from streamlit_option_menu import option_menu with st.sidebar: selected = option_menu("Main Menu", ["Home", 'Settings'], icons=['house', 'gear'], menu_icon="cast"...