Streamlit.py

import streamlit as st
import numpy as np
import datetime as dt
import time
import pandas as pd
import matplotlib.pyplot as plt


st.set_page_config(
    page_title="Streamlit Demo",
    page_icon="",
    layout="wide" # two options wide and center
)

st.sidebar.title("Streamlit Topics")
page=st.sidebar.radio("Go to Section",
                      ["UI & Layout",
                      "input Widge",
                      "Data Display",
                      "Button & File",
                      'Media & Status',
                      'Charts & Visualization'
                      ])

if page=="UI & Layout":
    st.title("UI creation & Layout")
    st.header("Text Element")
    st.subheader("SUbheader Example")
    st.text("This is Text")
    st.write("it can show text,number,table,etc.")
    st.markdown("**Markdown** support_forming_")

    code='''
    def add(a,b):
        return a+b
    print(add(3,7))'''

    st.code(code,language='python')
    st.divider()
    st.header("Colomns & Expander")
    col1,col2,col3=st.columns(3)
    with col1:
        st.success("Colomns 1 Content")
    with col2:
        st.info("Column 2 Content")
    with col3:
        st.error("Column 3 Content")

    with st.expander("Click to expand"):
        st.write("Hidden Content shown here")

elif page=="input Widge":
    st.title("Input Widge & Interactivity")

    name=st.text_input("Enter Name")
    feedback=st.text_area("Enter Feedback")
    age=st.number_input("Age",1,100,18)# 1,100 is range 18 is default value
    rating=st.slider("Rate session",1,10,5)# 1 to 10 is return and 5 is default value

    course=st.selectbox("Select Course",['FSD-1','Fcsp-1','PS','DE'])
    days=st.multiselect("Preffered Days",['Mon','Tue','Wed','Thu','Fri'])
    subscribe=st.checkbox("Subscribe")
    exam_date=st.date_input("Exam Date",dt.date.today())
    exam_time=st.time_input("Exam Time",dt.time(10,0))
    
    st.markdown("### Live Output")
    st.write(f"Name:{name}")
    st.write(f"Age:{age}")
    st.write(f"Course:{course}")
    st.write(f"Days:{days}")
    st.write(f"Subscribe:{subscribe}")
    st.write(f"Date:{exam_date}")
    st.write(f"Time:{exam_time}")
elif page=="Data Display":
    st.title("Displaying Data")
    data={
        "Student":["A","B","C"],
        "Marks":[85,90,33],
        "Pass":[True,True,False]
    }

    df=pd.DataFrame(data)
     # option 1 for display file
    st.subheader("Table")
    st.table(df)
     # option 2 for display file responsive table changeble 
    st.subheader("DataFrame")
    st.dataframe(df)
    
    # option 3 for display data (JSON)
    st.subheader("JSON")
    st.json(data)

elif page == "Button & File":
    st.title("Buttons,File Upload & Download")
    uploaded_file=st.file_uploader("Upload CSV",type=['csv'])

    if uploaded_file:
        df=pd.read_csv(uploaded_file)
        st.dataframe(df)

    if st.button("Generate Sample Data"):
        data={
            "Student":['A','B','C'],
            'Marks':[88,90,33]
        }
        df=pd.DataFrame(data)
        st.table(df)

        csv=df.to_csv(index=False)
        st.download_button(
            'Download CSV',
            csv,
            'marks.csv'
        )   
elif page == 'Media & Status':
    st.title('Media & Status Element')

    st.success('Success Message')
    st.warning('Warning Message')
    st.error('Error Message')
    st.info('info Message')


    if st.button('Start Task'):
        progress=st.progress(0)
        with st.spinner('Processing...'):
            for i in range(100):
                time.sleep(0.02)
                progress.progress(i+1)
            st.success('Task Complated')
    st.subheader("Media")
    st.image('image1.webp',width='content')
    st.image('https://picsum.photos/600/300',width='content')
    st.audio('krish.mp3')
    st.video('samplevideo.mp4')

elif page == 'Charts & Visualization':
    st.title('Charts & Visulization')

    x=np.arange(1,11)
    y=np.random.randint(50,100,10)

    st.subheader("Matplotlib Line Chart")
    plt.figure()
    plt.plot(x,y,marker='o')
    plt.ylabel('Marks')
    plt.title("Line Chart")
    st.pyplot(plt)

    st.subheader("Matplotlib Histogram")
    plt.figure()
    plt.hist(y,bins=5)
    st.pyplot(plt)

    st.subheader("Streamlit inbuild Graphs")
    data={
        'x':x,
        'y':y
    }
    df=pd.DataFrame(data)

    st.line_chart(df['y'],color='#ffaa0088')
    st.bar_chart(df['y'],color='#7300ff')
    st.area_chart(df['y'])