Update app.py

app.py

@@ -385,15 +385,16 @@ if st.button("🚀 Run Topic Modeling Pipeline", type="primary", use_container_w
         ax3.scatter(reduced_embeddings[:, 0], reduced_embeddings[:, 1], c=topics, cmap='tab10', s=150, edgecolor='k')
         ax3.set_title(f"STEP 3: Clustering ({cluster_algo})", fontsize=13, fontweight='bold')
         
-        # Live Data Extraction
-        topic_sample = topics[:5] # First 5 cluster assignments
+# Live Data Extraction
+        topic_sample = topics[:5] # Grabs up to the first 5
         
         eq_3 = r"$\mathbf{Math (K-Means):} \quad \arg\min_S \sum ||x_i - \mu_c||^2$" if cluster_algo == "K-Means" else r"$\mathbf{Math (HDBSCAN):} \quad \text{Density} = \frac{1}{\text{core\_dist}(x)}$"
         math_text_3 = (
             f"{eq_3}\n"
             f"Output Array Shape: ({len(topics)},) (1 Label per Doc)\n"
-            f"Doc 1-5 Assignments: {topic_sample}..."
+            f"First {len(topic_sample)} Doc Assignments: {topic_sample}"
         )
+        
         ax3.text(0.5, -0.25, math_text_3, fontsize=11, ha='center', va='top', transform=ax3.transAxes, bbox=box_style)
 
         # --------------------------------------------------