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app/app.py

@@ -196,13 +196,14 @@ with col2:
     decoded = tf.keras.backend.ctc_decode(yhat, input_length=[75], greedy=True)[0][0].numpy()
     st.code(str(decoded[0].tolist()), language=None)
 
-    st.divider()
+
 
     # ── Ground truth (moved here) ─────────────────────────────────────────────
     st.divider()
     st.info("Ground truth label (from `.align` file)")
     st.code(ground_truth, language=None)
-    
+
+    st.divider()
     # ── Final prediction ──────────────────────────────────────────────────────
     prediction = tf.strings.reduce_join(
         num_to_char(decoded[0])