text rank display improvments

appStore/sdg_analysis.py

@@ -117,7 +117,7 @@ def app():
                         textranklist_ = textrank(sdgdata)
                         if len(textranklist_) > 0:
                         # tfidfkeywordList.append({'SDG':label, 'TFIDF Keywords':tfidflist_})
-                            textrankkeywordlist.append({'SDG':label, 'TextRank Keywords':textranklist_})
+                            textrankkeywordlist.append({'SDG':label, 'TextRank Keywords':",".join(textranklist_)})
                     # tfidfkeywordsDf = pd.DataFrame(tfidfkeywordList)
                     tRkeywordsDf = pd.DataFrame(textrankkeywordlist)
 
@@ -139,13 +139,14 @@ def app():
                     with c5:
                         st.pyplot(fig)
                     
-                    st.markdown("##### What keywords are present under SDG classified text? #####")
+                    st.markdown("###### What keywords are present under SDG classified text? ######")
 
-                    c1, c2, c3 = st.columns([1, 10, 1])
-                    with c2:
-                        st.table(tRkeywordsDf)
+                    # c1, c2, c3 = st.columns([1, 10, 1])
+                    # with c2:
+                    #     st.table(tRkeywordsDf)
+                    AgGrid(tRkeywordsDf, reload_data = False, update_mode="value_changed")
 
-                    st.markdown("##### Top few SDG Classified paragraph/text results #####")
+                    st.markdown("###### Top few SDG Classified paragraph/text results ######")
                     # c7, c8, c9 = st.columns([1, 10, 1])
                     # with c8:
                     AgGrid(df, reload_data = False, update_mode="value_changed")

utils/keyword_extraction.py

@@ -69,11 +69,14 @@ def textrank(textdata, ratio = 0.1, words = 0):
         try:
             words = int(config.get('sdg','TOP_KEY'))
             results = keywords.keywords(textdata, words = words).split("\n")    
-        except:
-            logging.warning("paramconfig not found, running textrank with ratio")
+        except Exception as e:
+            logging.warning(e)
             results = keywords.keywords(textdata, ratio= ratio).split("\n")
     else:
-        results = keywords.keywords(textdata, words= words).split("\n")
+        try:
+            results = keywords.keywords(textdata, words= words).split("\n")
+        except:
+            results = keywords.keywords(textdata, ratio = ratio).split("\n")
 
     return results