Add sidebar and a subhead

app.py

@@ -2,8 +2,8 @@ import streamlit as st
 import numpy as np
 import matplotlib.pyplot as plt
 
-number_of_observations = st.slider('Number of observations', min_value=50, max_value=150, value=50)
-noise_standard_deviation = st.slider('Standard deviation of the noise', min_value = 0.0, max_value=0.5, value=0.25)
+number_of_observations = st.sidebar.slider('Number of observations', min_value=50, max_value=150, value=50)
+noise_standard_deviation = st.sidebar.slider('Standard deviation of the noise', min_value = 0.0, max_value=2, value=0.25)
 
 np.random.seed(2)
 
@@ -17,6 +17,7 @@ additional_noise = 8 * np.random.binomial(1, 0.03, size = number_of_observations
 y = np.dot(X, w) + noise_standard_deviation * np.random.randn(number_of_observations) \
         + additional_noise	
 
+st.subheader('Quadratic regression')
 fig, ax = plt.subplots(dpi=320)
 ax.set_xlim((0,1))
 ax.set_ylim((-5,20))