diff --git a/app/streamlit_app.py b/app/streamlit_app.py
index d5754d9..6e9a0b6 100644
--- a/app/streamlit_app.py
+++ b/app/streamlit_app.py
@@ -118,6 +118,9 @@
 )
 
 
+logger = st.logger.get_logger(__name__)
+
+
 def _check_limits_mapper_graph(mapper_graph):
     if LIMITS_ENABLED:
         num_nodes = mapper_graph.number_of_nodes()
@@ -298,22 +301,34 @@ def mapper_lens_input_section(X):
             value=2,
             min_value=1,
         )
+        pca_random_state = st.number_input(
+            "PCA random state",
+            value=VD_SEED,
+        )
         _, n_feats = X.shape
         if pca_n > n_feats:
             lens = X
         else:
-            lens = PCA(n_components=pca_n).fit_transform(X)
+            lens = PCA(n_components=pca_n, random_state=pca_random_state).fit_transform(
+                X
+            )
     elif lens_type == V_LENS_UMAP:
         umap_n = st.number_input(
             "UMAP Components",
             value=2,
             min_value=1,
         )
+        umap_random_state = st.number_input(
+            "UMAP random state",
+            value=VD_SEED,
+        )
         _, n_feats = X.shape
         if umap_n > n_feats:
             lens = X
         else:
-            lens = UMAP(n_components=umap_n).fit_transform(X)
+            lens = UMAP(
+                n_components=umap_n, random_state=umap_random_state
+            ).fit_transform(X)
     return lens
 
 
@@ -492,6 +507,7 @@ def mapper_clustering_input_section():
     show_spinner="Computing Mapper",
 )
 def compute_mapper(mapper, X, y):
+    logger.info("Generating Mapper graph")
     mapper_graph = mapper.fit_transform(X, y)
     return mapper_graph
 
@@ -599,6 +615,7 @@ def plot_color_input_section(df_X, df_y):
 )
 def compute_mapper_plot(mapper_graph, dim, seed, iterations):
     _check_limits_mapper_graph(mapper_graph)
+    logger.info("Generating Mapper plot")
     mapper_plot = MapperPlot(
         mapper_graph,
         dim,
@@ -640,6 +657,7 @@ def mapper_plot_section(mapper_graph):
 def compute_mapper_fig(
     mapper_plot, colors, node_size, cmap, _agg, agg_name, colors_feat
 ):
+    logger.info("Generating Mapper figure")
     mapper_fig = mapper_plot.plot_plotly(
         colors,
         node_size=node_size,