Sync from GitHub (preserve manual model files)

StreamlitApp/StreamlitApp.py

@@ -131,11 +131,11 @@ if page == "Predict":
     preset_cols = st.columns(2)
     with preset_cols[0]:
         if st.button("Use strong AMP example"):
-            st.session_state.predict_input_widget = "ILPWKWPWWPWRR"
+            st.session_state.predict_input_widget = "RGGRLCYCRGWICFCVGR"
             st.rerun()
     with preset_cols[1]:
         if st.button("Use weak sequence example"):
-            st.session_state.predict_input_widget = "GAGAGAGAGAGA"
+            st.session_state.predict_input_widget = "KAEEEVEKNKEEAEEKAEKKIAE"
             st.rerun()
 
     seq_input = st.text_area(
@@ -198,7 +198,7 @@ if page == "Predict":
         if top_candidate:
             with st.container():
 
-                st.write("**Top Candidate**")
+                st.write("**Top AMP Predicted Candidate**")
                 seq = top_candidate.get("Sequence", "")
                 cc = st.columns([9, 1])
                 with cc[0]:
@@ -211,7 +211,9 @@ if page == "Predict":
                             toast_fn("Copied to clipboard")
                         else:
                             st.success("Copied to clipboard")
-                st.write(f"Confidence: **{format_conf_percent(top_candidate['predicted_confidence'], digits=1)}**")
+                label = top_candidate.get("Prediction", "")
+                conf_str = format_conf_percent(top_candidate["predicted_confidence"], digits=1)
+                st.write(f"**{label} with {conf_str} confidence**")
                 st.write(f"Reason: {top_candidate['Reason']}")
 
         st.divider()