streamlit_app.py

import streamlit as st
st.title ("Visionville")
st.header("Newsfeed app")
st.markdown("Different components")
st.subheader("Lite")
st.caption("this is the caption")
st.code("x=2021")
st.latex(r''' a+a r^1+a r^2+a r^3 ''')
st.write('Hello world!')

import streamlit as st
import pandas as pd
import numpy as np
import pickle  #to load a saved modelimport base64  #to open .gif files in streamlit app

@st.cache(suppress_st_warning=True)
def get_fvalue(val):    
  feature_dict = {"No":1,"Yes":2}    
  for key,value in feature_dict.items():        
        if val == key:            
           return value
          
def get_value(val,my_dict):    
    for key,value in my_dict.items():        
        if val == key:            
              return valueapp_mode = st.sidebar.selectbox('Select Page',['Home','Prediction']) #two pages

if app_mode=='Home':    
     st.title('LOAN PREDICTION :')      
     st.image('loan_image.jpg')    
     st.markdown('Dataset :')    
     data=pd.read_csv('loan_dataset.csv')    
     st.write(data.head())    
     st.markdown('Applicant Income VS Loan Amount ')    
     st.bar_chart(data[['ApplicantIncome','LoanAmount']].head(20))