Update app.py

app.py

@@ -82,7 +82,6 @@ def prediction_analyse(prediction_content,questiontype_list):
             print(f"Warning: Skipping invalid JSON data in line: {prediction}")
             continue
         question_id = str(prediction["ID"])
-        print(question_id)
         item_gt = id2item[question_id]
         rule = item_gt['Rule']
         question_type = item_gt["Dimension"]
@@ -97,7 +96,7 @@ def prediction_analyse(prediction_content,questiontype_list):
             results[question_type]["correct"] += 1
 
         results[question_type]["total"] += 1
-    
+        break
     return results
 
 
@@ -140,14 +139,14 @@ def add_new_eval(
         
         prediction = prediction_analyse(content,questiontype)
 
-        each_task_accuracy = {i: round(prediction[i]["correct"] / prediction[i]["total"] * 100, 1) for i in questiontype}
+        each_task_accuracy = {i: round(prediction[i]["correct"] / max(1, prediction[i]["total"]) * 100, 1) for i in questiontype}
 
         total_correct_video = sum(prediction[i]["correct"] for i in questiontype)
 
         total_video = sum(prediction[i]["total"] for i in questiontype)
 
         
-        average_accuracy_video = round(total_correct_video / total_video * 100, 1)
+        average_accuracy_video = round(total_correct_video / max(1, total_video) * 100, 1)
         
 
         col = csv_data.shape[0]