Update app.py

app.py

@@ -43,7 +43,7 @@ st.write("---")
 
 st.sidebar.write("Create random dataset")
 # Create a random dataset
-n_samples = st.sidebar.number_input('Number of samples', min_value=100, max_value=1000, value=200)
+n_samples = st.sidebar.number_input('Number of initial sample points', min_value=100, max_value=1000, value=100)
 n_centers = st.sidebar.number_input('Number of centers', min_value=1, max_value=20, value=3)
 
 # Streamlit app to add random data points and visualize the changing predictions
@@ -64,7 +64,7 @@ if st.session_state.n_samples != n_samples or st.session_state.n_centers != n_ce
     st.session_state.kmeans = KMeans(n_clusters=n_centers, random_state=42)
     st.session_state.kmeans.fit(st.session_state.X)
 
-n_points = st.sidebar.number_input('Number of points to add', min_value=0, max_value=100, value=15)
+n_points = st.sidebar.number_input('Number of new points to add', min_value=0, max_value=100, value=3)
 added_points = []
 X = st.session_state.X
 kmeans = st.session_state.kmeans