Update app.py

app.py

@@ -8,10 +8,10 @@ st_col_text = st.columns(1)[0]
 
 st.markdown(r"""
            Squared Exponential Kernel is formulated as $K(x, x') = \sigma_f^2 \exp \left[\frac{-(x - x')^2}{\ell^2}\right]$ where, $\ell$ is lengthscale and $\sigma_f^2$ is variance.
-           $$
-           \text{Prior:} \mathbf{f} \sim \mathcal{N}(\boldsymbol{0}, K) \\
-           \text{Likelihood} \sim \mathcal{N}(\mathbf{f}, \sigma_n^2)
-           $$
+           \begin{align}
+           \text{Prior:} \mathbf{f} &\sim \mathcal{N}(\boldsymbol{0}, K) \\
+           \text{Likelihood:} \mathbf{y} &\sim \mathcal{N}(\mathbf{f}, \sigma_n^2)
+           \end{align}
            where $\sigma_n^2$ is known as noise variance or likelihood noise.
     """)