Add a spinner for generating the profile and recs.

app.py

@@ -416,11 +416,13 @@ if uploaded_file is not None:
                 kp2val_vectors = st.session_state.kp2val_vectors
                 user_tplan = st.session_state.user_tplan
             else:  # This happens on the first run.
-                kp2val_vectors, user_tplan = generate_profile_values(profile_keyphrases=input_user_kps)
+                with st.spinner(text="Generating profile..."):
+                    kp2val_vectors, user_tplan = generate_profile_values(profile_keyphrases=input_user_kps)
                 st.session_state['kp2val_vectors'] = kp2val_vectors
                 st.session_state['user_tplan'] = user_tplan
         else:
-            kp2val_vectors, user_tplan = generate_profile_values(profile_keyphrases=input_user_kps)
+            with st.spinner(text="Generating profile..."):
+                kp2val_vectors, user_tplan = generate_profile_values(profile_keyphrases=input_user_kps)
             st.session_state['kp2val_vectors'] = kp2val_vectors
             st.session_state['user_tplan'] = user_tplan
             st.session_state.run_user_kps.append(copy.copy(input_user_kps))
@@ -449,11 +451,12 @@ if uploaded_file is not None:
             # st.write('Generating recs...')
             st.session_state.tuning_i += 1
             st.session_state.i_selections.append(copy.deepcopy(profile_selections))
-            top_papers = second_stage_ranked_docs(first_stage_pids=first_stage_ret_pids,
-                                                  selected_query_kps=profile_selections,
-                                                  pid2abstract=pid2abstract_cands,
-                                                  pid2sent_reps_cand=pid2sent_vectors_cands,
-                                                  to_rank=30)
+            with st.spinner(text="Recommending papers..."):
+                top_papers = second_stage_ranked_docs(first_stage_pids=first_stage_ret_pids,
+                                                      selected_query_kps=profile_selections,
+                                                      pid2abstract=pid2abstract_cands,
+                                                      pid2sent_reps_cand=pid2sent_vectors_cands,
+                                                      to_rank=30)
             st.session_state.i_resultps[st.session_state.tuning_i] = copy.deepcopy(top_papers)
     
         # Read off from the result cache and allow users to save some papers.