fix

app.py

@@ -126,10 +126,15 @@ precision, recall, f1 = evaluate_efficiency(dataset['validation'])
 def gradio_interface(input_text):
     results = retrieve_relevant_text(input_text)
     formatted_results = [
-        f"Similarity Score: {result['similarity_score']:.2f}, Code: {result['code']}, Description: {result['description']}"
-        for result in results
+        f"Result {i + 1}:\n"
+        f"Similarity Score: {result['similarity_score']:.2f}\n"
+        f"Code: {result['code']}\n"
+        f"Code System: {result['code_system']}\n"
+        f"Description: {result['description']}\n"
+        "-------------------"
+        for i, result in enumerate(results)
     ]
-    return formatted_results
+    return "\n".join(formatted_results)
 
 # Display retrieval efficiency metrics
 metrics = f"Precision: {precision:.2f}, Recall: {recall:.2f}, F1 Score: {f1:.2f}"
@@ -137,9 +142,12 @@ metrics = f"Precision: {precision:.2f}, Recall: {recall:.2f}, F1 Score: {f1:.2f}
 with gr.Blocks() as interface:
     gr.Markdown("# Text Retrieval with Efficiency Metrics")
     gr.Markdown(metrics)
-    text_input = gr.Textbox(label="Input Text")
-    text_output = gr.Textbox(label="Retrieved Results")
-    submit_button = gr.Button("Submit")
+    with gr.Row():
+        with gr.Column():
+            text_input = gr.Textbox(label="Input Text")
+            submit_button = gr.Button("Submit")
+        with gr.Column():
+            text_output = gr.Textbox(label="Retrieved Results", lines=10)
     submit_button.click(fn=gradio_interface, inputs=text_input, outputs=text_output)
 
 interface.launch()