minimal

app.py

@@ -6,14 +6,13 @@ from huggingface_hub import Repository
 from apscheduler.schedulers.background import BackgroundScheduler
 
 from src.assets.text_content import *
-from src.assets.css_html_js import custom_css, get_window_url_params
+from src.assets.css_html_js import custom_css
 
 OPTIMUM_TOKEN = os.environ.get("OPTIMUM_TOKEN", None)
 
 LLM_PERF_LEADERBOARD_REPO = "optimum/llm-perf-leaderboard"
 LLM_PERF_DATASET_REPO = "optimum/llm-perf"
 
-
 api = HfApi()
 
 
@@ -26,6 +25,7 @@ def restart_space():
 def load_all_info_from_hub():
     llm_perf_repo = None
     if OPTIMUM_TOKEN:
+        print("Loading LLM-Perf-Dataset from Hub...")
         llm_perf_repo = Repository(
             local_dir="./llm-perf/",
             clone_from=LLM_PERF_DATASET_REPO,
@@ -53,6 +53,7 @@ def get_leaderboard_df():
         llm_perf_repo.git_pull()
 
     df = pd.read_csv("./llm-perf/reports/cuda_1_100/inference_report.csv")
+    print(df.columns)
 
     return df
 
@@ -72,36 +73,16 @@ with demo:
     gr.HTML(TITLE)
     gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
 
+    print("rendering tab...")
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
         with gr.TabItem("🏅 LLM-Perf Benchmark", elem_id="llm-perf-benchmark-tab-table", id=0):
             leaderboard_table_lite = gr.components.Dataframe(
                 value=leaderboard_df,
                 headers=leaderboard_df.columns.tolist(),
-                # datatype=TYPES_LITE,
                 max_rows=None,
                 elem_id="leaderboard-table-lite",
             )
 
-    with gr.Row():
-        with gr.Column():
-            with gr.Accordion("📙 Citation", open=False):
-                citation_button = gr.Textbox(
-                    value=CITATION_BUTTON_TEXT,
-                    label=CITATION_BUTTON_LABEL,
-                    elem_id="citation-button",
-                ).style(show_copy_button=True)
-        with gr.Column():
-            with gr.Accordion("✨ CHANGELOG", open=False):
-                changelog = gr.Markdown(
-                    CHANGELOG_TEXT, elem_id="changelog-text")
-
-    dummy = gr.Textbox(visible=False)
-    demo.load(
-        dummy,
-        tabs,
-        _js=get_window_url_params,
-    )
-
 scheduler = BackgroundScheduler()
 scheduler.add_job(restart_space, "interval", seconds=3600)
 scheduler.start()