Update app.py

app.py

@@ -78,12 +78,26 @@ if submit:
             ).flatten()
             sorted = np.argsort(similarity_score)[::-1].tolist()
             
+            m = st.markdown("""
+            <style>
+            * {
+                text-align: center;
+            }
+            </style>""", unsafe_allow_html=True)
+
             prediction = np.argmax(result, axis=-1)
             if prediction == 0:
                 st.success(f"This news is {label[prediction]}.")
             else:
                 st.error(f"This news is {label[prediction]}.")
             
+            m = st.markdown("""
+            <style>
+            * {
+                text-align: left;
+            }
+            </style>""", unsafe_allow_html=True)
+            
             with st.expander("Related Articles"):
                 for i in sorted[:5]:
                     # st.write(f"""""",unsafe_allow_html=True)