Update app.py

app.py

@@ -34,7 +34,7 @@ query = query.lower()
 if query:
     bar = st.progress(0)
     for i in range(10):
-        bar.progresses((i+1)*10)
+        bar.progress((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!