运行方法
streamlit run $STREAMLIT_SCRIPT_NAME.py
装逼效果
可以可视化人工标注,并且实时运行一个YOLO 目标检测器。
手册
写标题
st.title('My first app')
万能文本添加方法,什么类型的输入数据都可以丢给它,甚至是 dataframe。
st.write()
如果是 python3,甚至于不需要 st.write(),直接输出变量,就像 jupyter notebook 一样
""" # My first app Here's our first attempt at using data to create a table: """ df = pandas.DataFrame({ 'first column': [1, 2, 3, 4], 'second column': [10, 20, 30, 40] }) df
上传文件
import pandas as pd import streamlit as st uploaded_file = st.file_uploader(“Choose a file”) if uploaded_file is not None: #read csv df1=pd.read_csv(uploaded_file)
交互计算
展示 node-edge graph