update msg

app.py

@@ -2262,10 +2262,10 @@ with demo:
                                 1. Load Dataset (left).
                                 2. Choose parameters (middle).
                                 3. 🔴 RUN NCUT.
-                                4. 🔴 RUN FPS+Cluster.
+                                4. 🔴 RUN tree.
                                 5. Interact and Inspect (scroll down).
                                 """)
-                with gr.Accordion("Methods: NCUT spectral-TSNE", open=False):
+                with gr.Accordion("Methods: NCUT Embedding", open=False):
                     gr.Markdown("### <a style='color: #0044CC;' href='https://ncut-pytorch.readthedocs.io/en/latest/how_ncut_works/' target='_blank'>Documentation: How NCUT works</a>")
                     gr.Markdown("""
                                 1. Run Backbone, feature extraction for each image.
@@ -2274,15 +2274,15 @@ with demo:
                                 4. Run spectral-tSNE on the NCUT eigenvectors.
                                 5. Plot the 3D spectral-tSNE as RGB.
                                 """)
-                with gr.Accordion("Methods: Hierarchical Structure", open=False):
+                with gr.Accordion("Methods: spectral-tSNE tree", open=False):
                     gr.Markdown("""
                                 1. Farthest Point Sampling (FPS) on the eigenvectors.
                                 2. spectral-tSNE (2D) on the FPS sampled points.
-                                3. Hierarchical clustering on the FPS sampled points.
+                                3. Hierarchical clustering (tree) on the FPS sampled points.
                                 """)
                 gr.Markdown('---')
                 
-                run_hierarchical_button = gr.Button("🔴 RUN FPS+Cluster", elem_id="run_hierarchical", variant='primary')
+                run_hierarchical_button = gr.Button("🔴 RUN tree", elem_id="run_hierarchical", variant='primary')
                 with gr.Accordion("Hierarchical Structure Parameters:", open=True):
                     num_sample_fps_slider = gr.Slider(1, 5000, step=1, label="FPS: num_sample", value=1000, elem_id="num_sample_fps")
                     tsne_perplexity_slider = gr.Slider(1, 1000, step=1, label="t-SNE: perplexity", value=500, elem_id="perplexity_tsne")