Update app.py

app.py

@@ -3,6 +3,7 @@ import streamlit as st
 import scipy.stats
 import matplotlib.pyplot as plt
 from matplotlib import rc
+plt.style.use('fivethirtyeight')
 
 st.subheader("Bayesian Coin Toss")
 st_col = st.columns(1)[0]
@@ -30,7 +31,7 @@ ax.set_xlabel('p(head)');
 # axs.text(h/N,2,'MLE', color='b')
 
 axs.plot(theta, [scipy.stats.beta.pdf(t, h+alpha, N-h+beta) for t in theta], color='r')
-ax.text(theta[N_theta//4], Likelihood[N_theta//4],'Likelihood', color='b')
+ax.text(theta[N_theta//4], Likelihood[N_theta//4], 'Likelihood', color='b')
 axs.text(theta[3*N_theta//4], scipy.stats.beta.pdf(theta, alpha,beta)[3*N_theta//4],'Prior')
 # axs.text(alpha/(alpha+beta)-0.1,1,'Prior mean')
 axs.text(theta[N_theta//2],scipy.stats.beta.pdf(theta[N_theta//2], h+alpha, N-h+beta),'Posterior',color='r')