Update app.py

app.py

@@ -582,9 +582,9 @@ with tab1:
             st.text_area("", res1.get('fasta_log', 'No data'), height=200, key="fasta_info_area")
         with p1_tabs[1]:
             st.subheader("Drug-Likeness Assessment (Lipinski's Rule of Five)")
-            st.dataframe(res1.get('lipinski_subset_df', pd.DataFrame()), use_container_width=True)
+            st.dataframe(res1.get('lipinski_subset_df', pd.DataFrame()), use_container_width=True, hide_index=True)
             st.subheader("Calculated Molecular Properties")
-            st.dataframe(res1.get('props_df', pd.DataFrame()), use_container_width=True)
+            st.dataframe(res1.get('props_df', pd.DataFrame()), use_container_width=True, hide_index=True)
         with p1_tabs[2]:
             st.subheader("Molecular Properties Dashboard")
             if res1.get('props_plot'):
@@ -640,10 +640,10 @@ with tab2:
             col1, col2 = st.columns(2)
             with col1:
                 st.subheader("Virtual Screening Results (Simulated)")
-                st.dataframe(res2.get('screening_df', pd.DataFrame()), use_container_width=True)
+                st.dataframe(res2.get('screening_df', pd.DataFrame()), use_container_width=True, hide_index=True)
             with col2:
                 st.subheader("ADMET Properties Prediction")
-                st.dataframe(res2.get('admet_df', pd.DataFrame()), use_container_width=True)
+                st.dataframe(res2.get('admet_df', pd.DataFrame()), use_container_width=True, hide_index=True)
         with p2_tabs[1]:
             st.subheader("Interactive 2D and 3D views of candidate molecules.")
             if res2.get('combined_viz_html'):
@@ -692,9 +692,9 @@ with tab3:
             st.subheader("Comprehensive Molecular Properties & AI-Powered Toxicity Prediction (Simulated)")
             col1, col2 = st.columns(2)
             with col1:
-                st.dataframe(res3.get('comp_props_df', pd.DataFrame()), use_container_width=True)
+                st.dataframe(res3.get('comp_props_df', pd.DataFrame()), use_container_width=True, hide_index=True)
             with col2:
-                st.dataframe(res3.get('tox_df', pd.DataFrame()), use_container_width=True)
+                st.dataframe(res3.get('tox_df', pd.DataFrame()), use_container_width=True, hide_index=True)
         with p3_tabs[1]:
             st.subheader("Interactive 3D gallery of the compounds under analysis.")
             if res3.get('combined_viz_html'):
@@ -739,14 +739,13 @@ with tab4:
             st.subheader("Simulated Adverse Event Analysis")
             if res4.get('plot_bar'):
                 st.pyplot(res4['plot_bar'])
-            st.dataframe(res4['rwd_df'], use_container_width=True)
+            st.dataframe(res4.get('rwd_df', pd.DataFrame()), use_container_width=True, hide_index=True)
             
         with p4_tabs[1]:
             col1, col2 = st.columns(2)
             with col1:
                 st.subheader("AI/ML Documentation Summary for Submission")
-                st.dataframe(res4.get('reg_df', pd.DataFrame()), use_container_width=True)
+                st.dataframe(res4.get('reg_df', pd.DataFrame()), use_container_width=True, hide_index=True)
             with col2:
                 st.subheader("Ethical Framework for AI in Healthcare")
-                st.dataframe(res4.get('eth_df', pd.DataFrame()), use_container_width=True)
-
+                st.dataframe(res4.get('eth_df', pd.DataFrame()), use_container_width=True, hide_index=True)