Add markdown and latex

app.py

@@ -5,6 +5,9 @@ import matplotlib.pyplot as plt
 st.title('Fitting simple models with JAX')
 st.header('A quadratric regression example')
 
+st.markdown('**This is a simple text** to specify the goal of this simple data app\n.')
+st.latex('h(\boldsymbol x, \boldsymbol w)= \sum_{k=1}^{K}\boldsymbol w_{k} \phi_{k}(\boldsymbol x)'
+
 number_of_observations = st.sidebar.slider('Number of observations', min_value=50, max_value=150, value=50)
 noise_standard_deviation = st.sidebar.slider('Standard deviation of the noise', min_value = 0.0, max_value=2.0, value=0.25)
 
@@ -20,7 +23,7 @@ additional_noise = 8 * np.random.binomial(1, 0.03, size = number_of_observations
 y = np.dot(X, w) + noise_standard_deviation * np.random.randn(number_of_observations) \
         + additional_noise	
 
-st.subheader('Quadratic regression')
+
 fig, ax = plt.subplots(dpi=320)
 ax.set_xlim((0,1))
 ax.set_ylim((-5,20))