Update app.py

app.py

@@ -93,7 +93,7 @@ def init_leaderboard(dataframe):
     )
 
 def load_id_answer_mapping():
-    id_answer_mapping = os.getenv("ID_ANSWER_MAPPING")  # 读取 Secret
+    id_answer_mapping = os.getenv("ID_ANSWER_MAPPING") 
     if not id_answer_mapping:
         raise ValueError("ID_ANSWER_MAPPING secret not found!")
     print(id_answer_mapping)
@@ -101,26 +101,23 @@ def load_id_answer_mapping():
     return json.loads(id_answer_mapping)
 
 def evaluate_uploaded_json(user_file):
-    print(user_file)  # 打印文件路径或对象
-    id_answer_mapping = load_id_answer_mapping()  # 读取答案映射
+    print(user_file)  
+    id_answer_mapping = load_id_answer_mapping()  
 
     with open(user_file, "r", encoding="utf-8") as f:
-        user_data = json.load(f)  # 读取 JSON 文件
+        user_data = json.load(f) 
 
-    # 统计总正确率
     correct = 0
     total = 0
 
-    # 按 class 统计正确率
-    class_correct = defaultdict(int)  # 存每个 class 正确的数量
-    class_total = defaultdict(int)    # 存每个 class 总的题目数
+    class_correct = defaultdict(int)  
+    class_total = defaultdict(int)    
 
     for item in user_data:
         question_id = item["id"]
         user_answer = item.get("answer")
-        question_class = item.get("class", "Unknown")  # 可能没有 class，默认 "Unknown"
+        question_class = item.get("class", "Unknown")  
 
-        # 增加 class 计数
         class_total[question_class] += 1
         total += 1
 
@@ -128,16 +125,13 @@ def evaluate_uploaded_json(user_file):
             class_correct[question_class] += 1
             correct += 1
 
-    # 计算总正确率
     accuracy = correct / total if total > 0 else 0
 
-    # 计算每个 class 的正确率
     class_accuracy = {
         cls: class_correct[cls] / class_total[cls] if class_total[cls] > 0 else 0
         for cls in class_total
     }
 
-    # 格式化输出
     class_accuracy_str = "\n".join(
         [f"- {cls}: {acc:.2%} ({class_correct[cls]}/{class_total[cls]} correct)"
          for cls, acc in class_accuracy.items()]
@@ -152,8 +146,8 @@ def evaluate_uploaded_json(user_file):
 
 demo = gr.Blocks(css=custom_css)
 with demo:
-    gr.HTML(TITLE)
-    gr.Markdown("Vid-Composition", elem_classes="markdown-text")
+    gr.HTML("Vid-Composition")
+    # gr.Markdown("Vid-Composition", elem_classes="markdown-text")
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
         # with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=0):