Update classify_abs.py

classify_abs.py

@@ -308,7 +308,7 @@ def streamlit_getAbs(searchterm_list:Union[List[str],List[int],str], maxResults:
                 break
             pmidlist = [pmid.text for pmid in result.iter('Id')]
             pmids.update(pmidlist)
-            PMIDs_bar.progress(round(len(pmids)*percent_by_step,1))
+            PMIDs_bar.progress(min(round(len(pmids)*percent_by_step,1),1.0)
 
         url = 'https://www.ebi.ac.uk/europepmc/webservices/rest/search?query='+query+'&resulttype=core'
         r = requests.get(url)
@@ -322,7 +322,7 @@ def streamlit_getAbs(searchterm_list:Union[List[str],List[int],str], maxResults:
                 pmid = pmidlist[0]
                 if pmid[0].isdigit():
                     pmids.add(pmid)
-                    PMIDs_bar.progress(round(len(pmids)*percent_by_step,1))
+                    PMIDs_bar.progress(min(round(len(pmids)*percent_by_step,1),1.0)
     PMIDs_bar.empty()
     
     with st.success('Found '+str(len(pmids))+' PMIDs. Gathering Abstracts and Filtering...'):
@@ -340,18 +340,18 @@ def streamlit_getAbs(searchterm_list:Union[List[str],List[int],str], maxResults:
                     for term in searchterm_list:
                         if term.lower() in uncased_ab:
                             pmid_abs[pmid] = abstract
-                            abstracts_bar.progress(round(len(pmid_abs)*percent_by_step,1))
+                            abstracts_bar.progress(min(round(len(pmid_abs)*percent_by_step,1),1.0))
                             break
                 elif filtering =='none':
                     pmid_abs[pmid] = abstract
-                    abstracts_bar.progress(round(len(pmid_abs)*percent_by_step,1))
+                    abstracts_bar.progress(min(round(len(pmid_abs)*percent_by_step,1),1.0))
                 
                 #Default filtering is 'lenient'.
                 else:
                     #Else and if are separated for readability and to better understand logical flow.
                     if set(filter_terms).intersection(set(word_tokenize(abstract))):
                         pmid_abs[pmid] = abstract
-                        abstracts_bar.progress(round(len(pmid_abs)*percent_by_step,1))
+                        abstracts_bar.progress(min(round(len(pmid_abs)*percent_by_step,1),1.0))
         abstracts_bar.empty()
     
     st.success('Found '+str(len(pmids))+' PMIDs. Gathered '+str(len(pmid_abs))+' Relevant Abstracts.')