Update app.py

app.py

@@ -54,18 +54,22 @@ def f_BCNOLLN(y1, y2, mu1, sigma1, alpha1, beta1, mu2, sigma2, alpha2, beta2, la
 # Streamlit app
 st.title('BCNOLLN Distribution Visualizer')
 
-# Input fields for parameters
-mu1 = st.sidebar.number_input('Mean μ1', value=0.0)
-sigma1 = st.sidebar.number_input('Standard deviation σ1', value=1.0, min_value=0.1)
-alpha1 = st.sidebar.number_input('Alpha1 α1', value=0.2, min_value=0.0, max_value=1.0)
-beta1 = st.sidebar.number_input('Beta1 β1', value=0.2, min_value=0.0, max_value=1.0)
-
-mu2 = st.sidebar.number_input('Mean μ2', value=0.0)
-sigma2 = st.sidebar.number_input('Standard deviation σ2', value=1.0, min_value=0.1)
-alpha2 = st.sidebar.number_input('Alpha2 α2', value=0.9, min_value=0.0, max_value=1.0)
-beta2 = st.sidebar.number_input('Beta2 β2', value=0.3, min_value=0.0, max_value=1.0)
-
-lambd = st.sidebar.number_input('Lambda λ', value=-0.5)
+# Sidebar title and explanation
+st.sidebar.title('Parameters')
+st.sidebar.write('Adjust the parameters below to visualize the BCNOLLN distribution.')
+
+# Input fields for parameters with sliders
+mu1 = st.sidebar.slider('Mean μ1', min_value=-10.0, max_value=10.0, value=0.0, step=0.1)
+sigma1 = st.sidebar.slider('Standard deviation σ1', min_value=0.1, max_value=10.0, value=1.0, step=0.1)
+alpha1 = st.sidebar.slider('Alpha1 α1', min_value=0.0, max_value=1.0, value=0.2, step=0.01)
+beta1 = st.sidebar.slider('Beta1 β1', min_value=0.0, max_value=1.0, value=0.2, step=0.01)
+
+mu2 = st.sidebar.slider('Mean μ2', min_value=-10.0, max_value=10.0, value=0.0, step=0.1)
+sigma2 = st.sidebar.slider('Standard deviation σ2', min_value=0.1, max_value=10.0, value=1.0, step=0.1)
+alpha2 = st.sidebar.slider('Alpha2 α2', min_value=0.0, max_value=1.0, value=0.9, step=0.01)
+beta2 = st.sidebar.slider('Beta2 β2', min_value=0.0, max_value=1.0, value=0.3, step=0.01)
+
+lambd = st.sidebar.slider('Lambda λ', min_value=-1.0, max_value=1.0, value=-0.5, step=0.01)
 
 # Generate y1 and y2 values
 y1, y2 = np.meshgrid(np.linspace(-3, 3, 100), np.linspace(-3, 3, 100))