Update app.py

app.py

@@ -25,7 +25,6 @@ st.markdown(
 )
 
 st.header("Word2Vec App for Clotting Pubmed Database.")
-st.subheader("searching 40123 PubMed abstracts")
 
 text_input_value = st.text_input("Enter one term to search within the Clotting database")
 query = text_input_value
@@ -33,6 +32,11 @@ query = query.lower()
 # query = input ("Enter your keyword(s):")
 
 if query:
+    bar = st.progress(0)
+    for i in range(10):
+        bar.progresses((i+1)*10)
+        time.sleep(.1)
+    st.subheader("searching 40123 PubMed abstracts")
     model = Word2Vec.load("pubmed_model_clotting")  # you can continue training with the loaded model!
     words = list(model.wv.key_to_index)
     X = model.wv[model.wv.key_to_index]