comment out the debug messages

app.py

@@ -128,12 +128,12 @@ def evaluate_efficiency(dataset_split, similarity_threshold=0.1):
                 # Predictions (limit to length of true annotations to avoid mismatch)
                 y_pred.extend(retrieved_codes[:len(annotations_list)])
                 
-                for result in retrieved_results:
-                    print(f"  Code: {result['code']}, Similarity Score: {result['similarity_score']:.2f}")
+                # for result in retrieved_results:
+                #     print(f"  Code: {result['code']}, Similarity Score: {result['similarity_score']:.2f}")
 
     # Debugging output to check for mismatches and understand results
-    print("Sample y_true:", y_true[:10])
-    print("Sample y_pred:", y_pred[:10])
+    # print("Sample y_true:", y_true[:10])
+    # print("Sample y_pred:", y_pred[:10])
 
     if total_items > 0:
         avg_similarity = total_similarity / total_items
@@ -175,7 +175,7 @@ metrics = f"Accuracy: {avg_similarity:.2f}"
 
 with gr.Blocks() as interface:
     gr.Markdown("# Automated Medical Coding POC")
-    gr.Markdown(metrics)
+    # gr.Markdown(metrics)
     with gr.Row():
         with gr.Column():
             text_input = gr.Textbox(label="Input Text")