Update app.py

app.py

@@ -18,7 +18,7 @@ st.markdown(r"""
     """)
 
 
-st_col, st_met = st.columns([5,1])
+st_col = st.columns(1)[0]
 
 old_loss = 1000.0
 lengthscale = st.slider('Lengthscale', min_value=0.01, max_value=1.0, value=0.25, step=0.01)
@@ -60,13 +60,13 @@ ax.fill_between(x_test.ravel(), pred_mean.ravel()-pred_std2.ravel(),
                 pred_mean.ravel()+pred_std2.ravel(), alpha=0.5, label='$\\mu \\pm 2\\sigma$')
 ax.set_xlabel('x')
 ax.set_ylabel('y')
-# ax.set_title(f"Negative Log Marginal Likelihood: {scipy.stats.multivariate_normal(np.zeros(3), k_train_with_noise).logpdf(y_train.ravel()):.4f}")
+ax.set_title(f"Negative Log Marginal Likelihood: {scipy.stats.multivariate_normal(np.zeros(3), k_train_with_noise).logpdf(y_train.ravel()):.4f}")
 ax.legend()
 
 with st_col:
     st.pyplot(fig)
-new_loss = scipy.stats.multivariate_normal(np.zeros(3), k_train_with_noise).logpdf(y_train.ravel())
-new_loss_str = f"{new_loss:.4f}"
+# new_loss = scipy.stats.multivariate_normal(np.zeros(3), k_train_with_noise).logpdf(y_train.ravel())
+# new_loss_str = f"{new_loss:.4f}"
 
 def percentage_change():
     global old_loss
@@ -74,8 +74,8 @@ def percentage_change():
     old_loss = new_loss
     return f"{ans:.1f}%"
 
-with st_met:
-    st.metric('Loss', f"{new_loss:.4f}")
+# with st_met:
+#    st.metric('Loss', f"{new_loss:.4f}")
     
 hide_streamlit_style = """
             <style>