Update app.py

app.py

@@ -85,7 +85,7 @@ def analyze_results(df, overall_scores, subcategory_scores):
     user_answers = df['User Answer'].tolist()
     explanations = df['Explanation'].tolist()
     confidence = df['Confidence'].tolist()
-    subcategories = df['Subcategory'].tolist()
+    subcategories = df['Section'].tolist()
 
     # Generate a summary of the results
     response = client.chat.completions.create(
@@ -99,7 +99,7 @@ def analyze_results(df, overall_scores, subcategory_scores):
                 - Overall Overconfidence: {overall_scores['Overconfidence']}
                 - Overall Underconfidence: {overall_scores['Underconfidence']}
 
-                Subcategory scores:
+                Section scores:
                 {subcategory_scores}
 
                 The following is a list of my answers and confidence levels for each question, with the correct answers and subcategory:
@@ -161,18 +161,18 @@ def submit_answer(category, num_categories, num_questions, questions, index, use
         "User Answer": confidence > 0.5,
         "Correct Answer": question_data["answer"],
         "Confidence": 2*abs(confidence-0.5),
-        "Subcategory": subcategory
+        "Section": subcategory
     })
     index += 1
 
     if index >= len(questions):
         df = pd.DataFrame(user_answers)
         overall_scores = calculate_scores(df)
-        subcategory_scores = df.groupby('Subcategory').apply(calculate_scores).to_dict()
+        subcategory_scores = df.groupby('Section').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', 'Overconfidence', 'Underconfidence'])
-        subcategory_scores_df = pd.DataFrame([(subcategory, *score.values()) for subcategory, score in subcategory_scores.items()], columns=['Subcategory', 'Accuracy', 'Overconfidence', 'Underconfidence'])
+        overall_score_df = pd.DataFrame([["Overall", *overall_scores.values()]], columns=['Section', 'Accuracy', 'Overconfidence', 'Underconfidence'])
+        subcategory_scores_df = pd.DataFrame([(subcategory, *score.values()) for subcategory, score in subcategory_scores.items()], columns=['Section', '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), gr.update(visible=False)
@@ -183,11 +183,11 @@ def submit_answer(category, num_categories, num_questions, questions, index, use
 # Gradio UI setup
 with gr.Blocks(theme="soft") as app:
     gr.Markdown("""## Deep Quizzer
-    See how well you know what you know. Enter a category and a quiz will be generated. Answer the True/False questions about it, and scores will then be calculated on your knowledge of the category, and on your ***knowledge of your knowledge*** of the category.""")
+    What do you know? What are you overconfident about? Underconfident? Deep Quizzer tests your knowledge, but also your ***meta-knowledge*** (your awareness of your knowledge). Taking a deep quiz will help you find gaps in your knowledge and learn how to be more confident in the topics you excel in!""")
     with gr.Row():
-      category_input = gr.Textbox(label="Category", placeholder="general knowledge", scale=4)
-      num_categories_input = gr.Number(label="Number of Subcategories", value=5, scale=1, maximum=6)
-      num_questions_input = gr.Number(label="Questions per Subcategory", value=5, scale=1, maximum=6)
+      category_input = gr.Textbox(label="Topic", placeholder="general knowledge", scale=4)
+      num_categories_input = gr.Number(label="Number of Sections", value=5, scale=1, maximum=6)
+      num_questions_input = gr.Number(label="Questions per Section", value=5, scale=1, maximum=6)
       total_questions_display = gr.Number(label="Total Questions in Quiz", value=25, scale=1)
     submit_category = gr.Button("Generate Quiz")
     question_area = gr.Markdown(visible=False)