formatting updates to about and user guide pages

pages/About.py

@@ -41,3 +41,7 @@ st.image('figures/ProtHGT_workflow.png')
 
 st.markdown(
 '<p style="text-align:center"><em><strong>Schematic representation of the ProtHGT framework. a)</strong> Diverse biological datasets, including proteins, pathways, domains, and GO terms, are integrated into a unified knowledge graph; <strong>b)</strong> the heterogeneous graph is constructed, capturing multi-relational biological associations; <strong>c)</strong> feature vectors for each node type are generated using state-of-the-art embedding methods; <strong>d)</strong> protein function prediction models are trained separately for molecular function, biological process, and cellular component sub-ontologies; <strong>e)</strong> heterogeneous graph transformer (HGT) layers process and refine node representations through multi-relational message passing. Final protein function predictions are obtained by linking proteins to GO terms based on learned embeddings and attention-weighted relationships.</em></p>', unsafe_allow_html=True)
+
+st.markdown("""
+
+""")

pages/User_Guide.py

@@ -243,13 +243,15 @@ st.markdown("""
 - **Download Visualized Edges** – Downloads a JSON file containing all edges shown in the current visualization, including source/target node IDs and prediction probabilities.
 """)
 
-st.warning("If you change the slider settings after generating a visualization, a warning will appear. Click **'Regenerate Visualization'** to apply the new settings.")
-
-st.info("For deeper exploration beyond second-degree connections, the complete knowledge graph can be downloaded from the link provided in the visualization tab.")
+st.info("📥 For deeper exploration beyond second-degree connections, the complete knowledge graph can be downloaded from the link provided in the visualization tab.")
 
 st.divider()
 
 st.markdown("## Running Locally")
 st.markdown("""
 For **larger datasets** or **custom analyses**, you can run ProtHGT locally using our [**GitHub repository**](https://github.com/HUBioDataLab/ProtHGT).
+""")
+
+st.markdown("""
+
 """)