streamlit_app.py

import streamlit as st
import numpy as np
import matplotlib.pyplot as plt

st.title('Illustrating the Central Limit Theorem with Streamlit')
st.subheader('An App by Tyler Richards')

st.write(('This app simulates a thousand coin flips using the chance of heads input below,'
    'and then samples with replacement from that population and plots the histogram of the'
    ' means of the samples in order to illustrate the central limit theorem!'))

perc_heads = st.number_input(
label='Chance of Coins Landing on Heads', min_value=0.0, max_value=1.0, value=.5)

binom_dist = np.random.binomial(1, perc_heads, 1000)

list_of_means = []
for i in range(0, 1000):
    list_of_means.append(np.random.choice(
    binom_dist, 100, replace=True).mean())

fig, ax = plt.subplots()
ax = plt.hist(list_of_means)

st.pyplot(fig)