用纯 python 写 web app：Streamlit

pip install streamlit

streamlit hello
# 启动web app# streamlit run [filename]streamlit run app.py
# You can now view your Streamlit app in your browser.# Local URL: http://localhost:8501

import streamlit as stimport numpy as npimport timeimport pandas as pdimport datetime# 侧边栏st.sidebar.title('菜单侧边栏')add_selectbox = st.sidebar.selectbox(    "这个是下拉框，请选择?",    ("1", "Home 2", "Mobile 2"))# 主栏st.title('Steamlit 机器学习web app')

st.header('1. text文本显示')st.markdown('Streamlit is **_really_ cool**.')st.text('This is some text.')st.subheader('This is a subheader')st.write("st.write 可以写很多东西哦")st.warning('This is a warning')

st.markdown('- 按钮')if st.button('Say hello'):    st.write('Why hello there')
st.markdown('- 单选框')genre = st.radio(     "选择你喜欢的？",    ('Comedy', 'Drama', 'Documentary'))
st.write('你选择了：', genre) 
st.markdown('- 复选框')    agree = st.checkbox('I agree')if agree:    st.write('感谢你同意了')


st.markdown('- 下拉框') option = st.selectbox(    '你喜欢的联系方式?',   ('Email', 'Home phone', 'Mobile phone'))
st.write('你选择了:', option)
st.markdown('- 多选下拉框') options = st.multiselect(    'What are your favorite colors',    ['Green', 'Yellow', 'Red', 'Blue'],    ['Yellow', 'Red'])
st.write('你选择了:', options)
st.markdown('- slider') values = st.slider(    'Select a range of values',    0.0, 100.0, (25.0, 75.0))st.write('Values:', values)

st.markdown('- 文本输入') title = st.text_input('Movie title', 'Life of Brian')st.write('The current movie title is', title)
txt = st.text_area('Text to analyze', '''    It was the best of times, it was the worst of times, it was    the age of wisdom, it was the age of foolishness, it was    the epoch of belief, it was the epoch of incredulity, it    was the season of Light, it was the season of Darkness, it    was the spring of hope, it was the winter of despair, (...)    ''')

st.markdown('- 日期与时间')d = st.date_input(    "生日",    datetime.date(2019, 7, 6))st.write('Your birthday is:', d)
t = st.time_input('闹钟', datetime.time(8, 45))st.write('闹钟为：', t)
st.markdown('- 上传文件')uploaded_file = st.file_uploader("Choose a CSV file", type="csv")if uploaded_file is not None:    data = pd.read_csv(uploaded_file)    st.write(data)

import cv2img = cv2.imread('sunrise.jpg')st.image(img[...,::-1], caption='Sunrise by the mountains',        use_column_width=True)

st.subheader('4.1 dataframe图表')@st.cache(persist=True)def get_data():    df = pd.DataFrame(    np.random.randn(200, 3),    columns=['a', 'b', 'c'])    return dfdf = get_data()# st.table(df)st.dataframe(df) st.line_chart(df)st.area_chart(df)st.bar_chart(df)

plt.plot(df.a, df.b)st.pyplot()

@st.cache(persist=True)def get_data():    df = pd.DataFrame(    np.random.randn(200, 3),    columns=['a', 'b', 'c'])    return df

import streamlit as stimport numpy as npimport matplotlib.pyplot as pltimport pandas as pd# 侧边栏st.sidebar.title('请选择过滤条件')time = st.sidebar.time_input('大于时间', datetime.time(1, 0))
values = st.sidebar.slider(    '速度',    0.0, 200.0, (25.0, 75.0))# 主栏st.title('数据探索')@st.cache(persist=True)def get_data():    file = './7000.csv'    return pd.read_csv(file, header=0)data = get_data()# print(values)display_data = data[data['time'] > str(time)]display_data = display_data[(display_data['速度'] > values[0]) & (display_data['速度'] < values[1])]st.line_chart(display_data[['方向', '速度']])

import streamlit as stimport numpy as npimport matplotlib.pyplot as pltimport timeimport pandas as pdimport datetimeimport cv2from PIL import Imageimport iofrom face_detect.mtcnn_tf import MTCNN
# 侧边栏st.sidebar.title('请上传一张照片，开始检测')uploaded_file = st.sidebar.file_uploader("", type="jpg")
# 主栏st.title('人脸检测')@st.cache()def init_model():    mtcnn = MTCNN()    return mtcnn
detect = init_model()if uploaded_file is not None:    # print(uploaded_file)    data = np.array(Image.open(io.BytesIO(uploaded_file.read())))    _, bboxs, _, _ = detect.run(data, detect_multiple_faces=True, margin=0)    # display bbox and landmarks    for idx, landmark in enumerate(landmarks):        bbox = bboxs[idx]        cv2.rectangle(data, (bbox[1], bbox[0]),                      (bbox[3], bbox[2]), (0, 2255, 0), 2)    st.image(data, caption='image', use_column_width=False)