Update app.py

app.py

@@ -29,7 +29,7 @@ submit = form.form_submit_button('Submit')
 
 if submit and len(x) != 0:  
   #model.to("cpu")
-  st.text("Execution is in progress ...")
+  st.write("Execution in progress ... It may take a while, please be patient.")
   
   tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-large-cased-v1.1", truncation = True, padding=True, model_max_length=512,)
   model_checkpoint = BertForTokenClassification.from_pretrained("dexay/Ner2HgF", )
@@ -253,6 +253,7 @@ if submit and len(x) != 0:
   for e in edccanbis:
     if e[-1]== ["B-EDC","B-CANCER"]:
       edccann += [[e[0],e[1],e[2]]]
+      st.write("am in edcann")
       
     elif e[-1]== ["B-EDC","B-HORMONE"]:
       edchorm += [[e[0],e[1],e[2]]]
@@ -282,6 +283,7 @@ if submit and len(x) != 0:
   with zipfile.ZipFile("allcsvs.zip", "w") as zipf:
     if edccancsv:
       zipf.write(edccancsv)
+      st.write("am in zip")
     if edcrecepcsv:
        zipf.write(edcrecepcsv)
     if edchormcsv:
@@ -290,6 +292,7 @@ if submit and len(x) != 0:
       zipf.write(hormcancsv)
     if hormrecepcsv:
       zipf.write(hormrecepcsv)
+  zipf.close()
   
   for e in edccanbis:
     edccan += [[e[3],e[0]+" ["+e[-1][0][2:]+"]", e[1]+" ["+e[-1][1][2:]+"]",e[2]]]