Update app.py

app.py

@@ -62,7 +62,7 @@ def infer_and_display_result(txt):
     res = inference(txt)
     res.sort(key = lambda x : - x[1])
     
-    st.markdown("###Inference results:")    
+    st.subheader("Inference results:")    
     for lbl, score in res:
         if score >=1:
             st.write(f"[        {lbl:<7}] {labels_decoder[lbl]:<35}  {score:.1f}%")
@@ -81,19 +81,18 @@ def infer_and_display_result(txt):
     for r in res_plot :
         ax.barh(r[0], r[1])
     st.pyplot(fig)
-    st.markdown(f"cycle time = {time() - start_time:.2f} s.")
+    st.code(f"cycle time = {time() - start_time:.2f} s.")
    
 # ======================================            
 
 
 st.title('Big-data cloud application for actionable scientific article topic analytics using in-memory computing and stuff.')    
-st.subtitle('test application for ML-2 class, YSDA-2022' )
+st.subheader('test application for ML-2 class, YSDA-2022' )
 image = Image.open('dilbert_big_data.jpg')
 st.image(image)
 st.write('test application for ML-2 class, YSDA-2022' )
 
-comment = """
-this application estimates probability that certain article belongs to one of the following classes based on Arxiv Category Taxonomy:
+comment = """This application estimates probability that certain article belongs to one of the following classes based on Arxiv Category Taxonomy:
 - 'cs.NE': 'Neural and Evolutionary Computing',
 - 'cs.CL': 'Computation and Language',
 - 'cs.AI': 'Artificial Intelligence',
@@ -111,7 +110,7 @@ model = build_model()
 action = st.button('click here to infer topic')  
 if action:
     if len(text) < 3:
-        st.subtitle("this text is too short or empty. try again")
+        st.subheader("this text is too short or empty. try again")
     else:        
         infer_and_display_result(text)
 
@@ -122,4 +121,3 @@ if action2:
 action3 = st.button('to lowercase')
 if action3: 
     st.write(text.lower())  
-