Update app.py

app.py

@@ -72,7 +72,7 @@ hide_streamlit_style = """
 st.markdown(hide_streamlit_style, unsafe_allow_html=True)
 st.markdown(r"""
            Here are some observations to note while experimenting with the hyperparameters:
-           * Lengthscale ($\ell$) controls the smoothness of the fit. Smoothness in fit increases with an increase in $\ell$.
-           * Variance controls the uncertainty in smooth (in other words, smoothness in the vertical direction [[Slide 154](http://cbl.eng.cam.ac.uk/pub/Public/Turner/News/imperial-gp-tutorial.pdf)]).
-           * Noise variance is a measure of observation noise or irreducible noise present in the dataset. Increasing noise variance to a certain limit reduces overfitting.
+           * Lengthscale $\ell$ controls the smoothness of the fit. Smoothness in fit increases with an increase in $\ell$.
+           * Variance $\sigma_f^2$ controls the uncertainty in smooth (in other words, smoothness in the vertical direction [[Slide 154](http://cbl.eng.cam.ac.uk/pub/Public/Turner/News/imperial-gp-tutorial.pdf)]).
+           * Noise variance $\sigma_n^2$ is a measure of observation noise or irreducible noise present in the dataset. Increasing noise variance to a certain limit reduces overfitting.
            """)