error

app.py

@@ -78,6 +78,9 @@ def _flatten_entry(entry: Dict) -> Dict:
 
 def _table_data() -> List[Dict]:
     data = _load_leaderboard()
+    if not data:
+        # Return empty list if no data
+        return []
     # Sort descending by pass@1 as requested
     data.sort(key=lambda x: x["llm_pass_1"], reverse=True)
     return [_flatten_entry(e) for e in data]
@@ -139,11 +142,39 @@ def submit_model(
 with gr.Blocks(title="Custom LLM Leaderboard") as demo:
     gr.Markdown("""# 🏆 LLM Leaderboard\nSubmit your model results below. Leaderboard is sorted by **Pass@1**. """)
 
+    # Create initial example data if file doesn't exist
+    if not LEADERBOARD_PATH.exists():
+        example_data = {
+            "leaderboard": [
+                {
+                    "model_name": "example/model",
+                    "bleu": 0.5,
+                    "llm_pass_1": 0.5,
+                    "llm_pass_5": 0.5,
+                    "llm_pass_10": 0.5,
+                    "metrics": {
+                        "readability": 5,
+                        "relevance": 5,
+                        "explanation_clarity": 5,
+                        "problem_identification": 5,
+                        "actionability": 5,
+                        "completeness": 5,
+                        "specificity": 5,
+                        "contextual_adequacy": 5,
+                        "consistency": 5,
+                        "brevity": 5
+                    }
+                }
+            ]
+        }
+        with LEADERBOARD_PATH.open("w", encoding="utf-8") as f:
+            json.dump(example_data, f, indent=2)
+    
     # Initialize table data
     initial_data = _table_data()
     
     leaderboard_df = gr.Dataframe(
-        headers=list(initial_data[0].keys()) if initial_data else ["Model", "BLEU", "Pass@1", "Pass@5", "Pass@10", "Readability", "Relevance", "Explanation Clarity", "Problem Identification", "Actionability", "Completeness", "Specificity", "Contextual Adequacy", "Consistency", "Brevity"],
+        headers=["Model", "BLEU", "Pass@1", "Pass@5", "Pass@10", "Readability", "Relevance", "Explanation Clarity", "Problem Identification", "Actionability", "Completeness", "Specificity", "Contextual Adequacy", "Consistency", "Brevity"],
         value=initial_data,
         label="Current Leaderboard",
         interactive=False,