How to design simple webpage using code studio

 import streamlit as st

import pandas as pd

import numpy as np

import altair as alt

import dataiku

#st.title('Selfserve reports!')

cust_ds = dataiku.Dataset("name of dataset")

df = cust_ds.get_dataframe()

#create list of countries

cntry_lst=df["city"].unique()

#create list of countries

year_lst=df["yearmonth"].unique()

#sel = st.selectbox('Select Market',cntry_lst, key='sel')

cust_seg=df["customer_segment_current"].unique()

sel=st.multiselect('Select City', cntry_lst, default=None,key='sel')

yrs=st.multiselect('Year(s)', year_lst, default=None,key='yrs')

segment=st.multiselect('Segment(s)', cust_seg, default=None,key='seg')

df = df[df["city"].isin (sel) & df["yearmonth"].isin (yrs)]

df2 = df[df["customer_segment_current"].isin (segment)]

#Select dim

dim = df2[['city'

#,'yearmonth'

,'customer_segment_current'

,'customer_nationality'

,'customer_residency'

,'customer_sex'

]]

dim_list = dim.columns

selected_dim=st.multiselect('Select Dimensions', dim_list)

#Select Msr

msr = df2[['ytd_wm_nns'

,'casa_aum'

,'deposit_aum'

,'active_client_count'

,'client_count']]

msr_list = msr.columns

selected_msr=st.multiselect('Select Measures', msr_list)

# Dim list

new = df2.filter(selected_dim, axis=1)

dm_list1 = new.columns.tolist()

# Msr list

new2 = df2.filter(selected_msr, axis=1)

msr_list1 = new2.columns.tolist()

#column_names_list_1 = new2.columns.tolist()

if len(msr_list) !=0:

    df1=df2.pivot_table(index=dm_list1,values=msr_list1,aggfunc=sum,columns='yearmonth').reset_index()

    st.info("Report")

    st.write(df1)

    #st.line_chart(df1)  

# Create Export button to move data in excel to download in local machine

def convert_for_download(df):

    return df1.to_csv().encode("utf-8")

csv = convert_for_download(df1)

st.download_button(

    label="Export Data",

    data=csv,

    file_name="data.csv",

    mime="text/csv",

)