Update app.py

app.py

@@ -77,26 +77,20 @@ if submit:
                 data["embeddings"]
             ).flatten()
             sorted = np.argsort(similarity_score)[::-1].tolist()
-            
-            m = st.markdown("""
-            <style>
-            .stAlert {
-                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.markdown("""<p style="background-color: rgb(254, 242, 242); 
+                st.markdown(f"""<p style="background-color: rgb(254, 242, 242); 
                 color: rgb(153, 27, 27);
-                font-size: 14px;
+                font-size: 50px;
                 border-radius: 7px;
                 padding-left: 12px;
                 padding-top: 13px;
                 padding-bottom: 13px;
-                line-height: 25px;">This article is {label[prediction]}.</p>""", unsafe_allow_html=True)
+                line-height: 25px;
+                text-align: center;">This article is {label[prediction]}.</p>""", unsafe_allow_html=True)
                 st.error(f"This news is {label[prediction]}.")
             
             with st.expander("Related Articles"):