pull repo

app.py

@@ -27,6 +27,9 @@ llm_perf_dataset_repo = load_dataset_repo(LLM_PERF_DATASET_REPO, OPTIMUM_TOKEN)
 
 
 def get_benchmark_df(benchmark):
+    if llm_perf_dataset_repo:
+        llm_perf_dataset_repo.git_pull()
+
     # load
     df = pd.read_csv(
         f"./llm-perf-dataset/reports/{benchmark}/inference_report.csv")
@@ -67,7 +70,7 @@ with demo:
                     headers=COLUMNS_MAPPING.values(),
                     elem_id="1xA100-table",
                 )
-
+        
         with gr.Row():
             MULTI_A100_TEXT = """<h3>Multi-GPU (4xA100):</h3>
             <ul>