Add plotting functionality for section results in Gradio app

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 from apscheduler.schedulers.background import BackgroundScheduler
 from huggingface_hub import snapshot_download
 import pandas as pd
+import matplotlib.pyplot as plt
 
 # Dataset paths
 LEADERBOARD_PATH = "hf://datasets/alibayram/yapay_zeka_turkce_mmlu_liderlik_tablosu/data/train-00000-of-00001.parquet"
@@ -32,8 +33,13 @@ def search_responses(query, model):
     return filtered[selected_columns]
 
 def plot_section_results():
+    fig, ax = plt.subplots(figsize=(10, 6))
     avg_scores = section_results_data.mean(numeric_only=True)
-    return avg_scores.plot(kind="bar", figsize=(10, 6), title="Average Section-Wise Performance")
+    avg_scores.plot(kind="bar", ax=ax)
+    ax.set_title("Average Section-Wise Performance")
+    ax.set_ylabel("Accuracy (%)")
+    ax.set_xlabel("Sections")
+    return fig  # Return the figure object
 
 def add_new_model(model_name, base_model, revision, precision, weight_type, model_type):
     # Simulated model submission logic