Update app.py

app.py

@@ -3,10 +3,8 @@ import streamlit as st
 import matplotlib.pyplot as plt
 
 st.subheader("Gaussian Process Regression")
-st_cols = st.columns(2)
-st_col = st_cols[0]
 
-st_col_text = st_cols[1]
+st_col_text = st.columns(1)[0]
 
 st_col_text.latex("""
         \\text{{Gamma}}(
@@ -27,6 +25,9 @@ st_col_text.latex("""
     """)
 
 
+st_col = st.columns(1)[0]
+
+
 lengthscale = st.slider('Lengthscale', min_value=0.01, max_value=1.0, value=0.25, step=0.01)
 variance = st.slider('Variance', min_value=0.001, max_value=0.1, value=0.025, step=0.001)
 noise_variance = st.slider('Noise Variance', min_value=0.001, max_value=0.01, value=0.0, step=0.001)