add link

app.py

@@ -95,10 +95,13 @@ def main():
         value=0.22,
         help="sparsity of alignment matrix",
     )
+    show_similarity = st.sidebar.checkbox("show similarity matrix", value=True)
     show_assignments = st.sidebar.checkbox("show assignments", value=True)
     if show_assignments:
         n_neighbors = st.sidebar.slider(
-            "n_neighbors", 2, 10, value=8, help="number of neighbors for umap"
+            "n_neighbors (see [details](https://umap-learn.readthedocs.io/en/latest/parameters.html#n-neighbors).)",
+            2, 15, value=8,
+            help="number of nearest neighbors for umap balancing between the preservation of local and global structures"
         )
 
     # Content
@@ -141,9 +144,10 @@ def main():
         fig = plot_align_matrix_heatmap_plotly(align_matrix.T, sent1, sent2, threshhold, cost_matrix.T)
         st.plotly_chart(fig, use_container_width=True)
 
-        st.write(f"**Word similarity matrix**")
-        fig2 = plot_similarity_matrix_heatmap_plotly(similarity_matrix.T, sent1, sent2, cost_matrix.T)
-        st.plotly_chart(fig2, use_container_width=True)
+        if show_similarity:
+            st.write(f"**Word similarity matrix**")
+            fig2 = plot_similarity_matrix_heatmap_plotly(similarity_matrix.T, sent1, sent2, cost_matrix.T)
+            st.plotly_chart(fig2, use_container_width=True)
 
         if show_assignments:
             st.write(f"**Alignments after UMAP**")