Update app.py

app.py

@@ -9,8 +9,8 @@ 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.
            $$
-           \text{Prior:} \mathbf{f} \sim \mathcal{N}(\boldsymbol{0}, K) \\
-           \text{Likelihood:} \mathbf{y} \sim \mathcal{N}(\mathbf{f}, \sigma_n^2)
+           \text{Prior: } \mathbf{f} \sim \mathcal{N}(\boldsymbol{0}, K) \\
+           \text{Likelihood: } \mathbf{y} \sim \mathcal{N}(\mathbf{f}, \sigma_n^2)
            $$
            where $\sigma_n^2$ is known as noise variance or likelihood noise.
     """)