Update app.py

app.py

@@ -95,7 +95,6 @@ def analyze_results(df, overall_scores, subcategory_scores):
                 "role": "user",
                 "content": f"""
                 Analyze the following quiz results:
-                - Overall Metaknowledge Score: {overall_scores['Metaknowledge Score']}
                 - Overall Accuracy: {overall_scores['Accuracy']}
                 - Overall Overconfidence: {overall_scores['Overconfidence']}
                 - Overall Underconfidence: {overall_scores['Underconfidence']}
@@ -172,8 +171,8 @@ def submit_answer(category, num_categories, num_questions, questions, index, use
         subcategory_scores = df.groupby('Subcategory').apply(calculate_scores).to_dict()
         analysis = analyze_results(df, overall_scores, subcategory_scores)
 
-        overall_score_df = pd.DataFrame([["Overall", *overall_scores.values()]], columns=['Subcategory', 'Accuracy', 'Metaknowledge Score', 'Overconfidence', 'Underconfidence'])
-        subcategory_scores_df = pd.DataFrame([(subcategory, *score.values()) for subcategory, score in subcategory_scores.items()], columns=['Subcategory', 'Metaknowledge Score', 'Accuracy', 'Overconfidence', 'Underconfidence'])
+        overall_score_df = pd.DataFrame([["Overall", *overall_scores.values()]], columns=['Subcategory', 'Accuracy', 'Overconfidence', 'Underconfidence'])
+        subcategory_scores_df = pd.DataFrame([(subcategory, *score.values()) for subcategory, score in subcategory_scores.items()], columns=['Subcategory', 'Accuracy', 'Overconfidence', 'Underconfidence'])
         results_df = pd.concat([overall_score_df, subcategory_scores_df], ignore_index=True)
         results_df = gr.DataFrame(label="Results", value=results_df, visible=True)
         return "", index, gr.update(visible=False), user_answers, results_df, gr.update(visible=False), gr.update(visible=False), gr.update(value=analysis, visible=True)