debug

app.py

@@ -24,25 +24,26 @@ def generate_plot(meta_index, topic_index):
 
     data = pd.read_csv(f"data/{meta_topic}/response_rec.csv", sep=",")
 
-    topic_data = data[data['sub_topic'] == topic]
+    topic_data = data.loc[data['sub_topic'] == topic].copy()
 
     # Compute human and llm accuracy
     topic_data['human_acc'] = topic_data['no_correct_human'] / topic_data['no_responses_human'].replace(0, np.nan)
     topic_data['llm_acc'] = topic_data['no_correct_llm'] / topic_data['no_responses_llm'].replace(0, np.nan)
 
-    # Calculate mean and standard deviation for the sample data
-    mean_data = topic_data.groupby('model_name').mean().reset_index()
-    std_deviation = topic_data.groupby('model_name').std().reset_index()
+    # Selecting only numeric columns for aggregation
+    numeric_cols = ['no_responses_human', 'no_correct_human', 'no_responses_llm', 'no_correct_llm', 'oracle_acc', 'human_acc', 'llm_acc']
+    mean_data = topic_data.groupby('model_name')[numeric_cols].mean().reset_index()
+    std_deviation = topic_data.groupby('model_name')[numeric_cols].std().reset_index()
 
     # Prepare the plot data
     plot_data = []
 
-    # Define a consistent color scheme
+    # Define a consistent color scheme with different opacities
     colors = ['#FFA07A', '#20B2AA', '#778899']  # Light Salmon, Light Sea Green, Light Slate Gray
-    opacities = [0.7, 0.7, 0.7]  # Opacity for average bars
-    
+    acc_types = ['oracle_acc', 'human_acc', 'llm_acc']
+
     # Add bars with error bars for the averages
-    for acc_type, color, opacity in zip(['oracle_acc', 'human_acc', 'llm_acc'], colors, opacities):
+    for acc_type, color in zip(acc_types, colors):
         plot_data.append(go.Bar(
             x=mean_data['model_name'],
             y=mean_data[acc_type],
@@ -52,7 +53,7 @@ def generate_plot(meta_index, topic_index):
                 visible=True
             ),
             name=acc_type.split('_')[0].capitalize(),
-            marker=dict(color=color, opacity=opacity)
+            marker=dict(color=color)
         ))
 
     # Layout