remove pull

app.py

@@ -27,9 +27,6 @@ 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")
@@ -52,39 +49,41 @@ with demo:
     gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
-        with gr.TabItem("🖥️ A100-80GB Benchmark 🏋️", elem_id="A100-benchmark", id=0):
-
-            SINGLE_A100_TEXT = """<h3>Single-GPU (1xA100):</h3>
+        with gr.Row():
+            with gr.TabItem("🖥️ A100-80GB Benchmark 🏋️", elem_id="A100-benchmark", id=0):
+
+                SINGLE_A100_TEXT = """<h3>Single-GPU (1xA100):</h3>
+                <ul>
+                    <li>Singleton Batch (1)</li>
+                    <li>Thousand Tokens (1000)</li>
+                </ul>
+                """
+                gr.HTML(SINGLE_A100_TEXT)
+
+                single_A100_df = get_benchmark_df(benchmark="1xA100-80GB")
+                leaderboard_table_lite = gr.components.Dataframe(
+                    value=single_A100_df,
+                    datatype=COLUMNS_DATATYPES,
+                    headers=COLUMNS_MAPPING.values(),
+                    elem_id="1xA100-table",
+                )
+
+        with gr.Row():
+            MULTI_A100_TEXT = """<h3>Multi-GPU (4xA100):</h3>
             <ul>
                 <li>Singleton Batch (1)</li>
                 <li>Thousand Tokens (1000)</li>
-            </ul>
-            """
-            gr.HTML(SINGLE_A100_TEXT)
+            </ul>"""
+            gr.HTML(MULTI_A100_TEXT)
 
-            single_A100_df = get_benchmark_df(benchmark="1xA100-80GB")
-            leaderboard_table_lite = gr.components.Dataframe(
-                value=single_A100_df,
+            multi_A100_df = get_benchmark_df(benchmark="4xA100-80GB")
+            leaderboard_table_full = gr.components.Dataframe(
+                value=multi_A100_df,
                 datatype=COLUMNS_DATATYPES,
                 headers=COLUMNS_MAPPING.values(),
-                elem_id="1xA100-table",
+                elem_id="4xA100-table",
             )
 
-            # MULTI_A100_TEXT = """<h3>Multi-GPU (4xA100):</h3>
-            # <ul>
-            #     <li>Singleton Batch (1)</li>
-            #     <li>Thousand Tokens (1000)</li>
-            # </ul>"""
-            # gr.HTML(MULTI_A100_TEXT)
-
-            # multi_A100_df = get_benchmark_df(benchmark="4xA100-80GB")
-            # leaderboard_table_full = gr.components.Dataframe(
-            #     value=multi_A100_df,
-            #     datatype=COLUMNS_DATATYPES,
-            #     headers=COLUMNS_MAPPING.values(),
-            #     elem_id="4xA100-table",
-            # )
-
     with gr.Row():
         with gr.Accordion("📙 Citation", open=False):
             citation_button = gr.Textbox(