Update app.py

app.py

@@ -7,7 +7,10 @@ st.subheader("Gaussian Process Regression with Squared Exponential Kernel")
 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.}
+           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.
+           $$
+           \text{Prior} \sim \mathcal{N}(\boldsymbol{0}, K), 
+           $$
     """)