fix search bar

app.py

@@ -1,11 +1,12 @@
 import os
+import json
 import gradio as gr
 import pandas as pd
 from apscheduler.schedulers.background import BackgroundScheduler
 
 from src.assets.text_content import TITLE, INTRODUCTION_TEXT, CITATION_BUTTON_LABEL, CITATION_BUTTON_TEXT
-from src.assets.css_html_js import custom_css
 from src.utils import restart_space, load_dataset_repo, make_clickable_model
+from src.assets.css_html_js import custom_css, get_window_url_params
 
 
 LLM_PERF_LEADERBOARD_REPO = "optimum/llm-perf-leaderboard"
@@ -45,8 +46,22 @@ def get_benchmark_df(benchmark):
     return df
 
 
+def change_tab(query_param):
+    query_param = query_param.replace("'", '"')
+    query_param = json.loads(query_param)
+
+    if (
+        isinstance(query_param, dict)
+        and "tab" in query_param
+        and query_param["tab"] == "evaluation"
+    ):
+        return gr.Tabs.update(selected=1)
+    else:
+        return gr.Tabs.update(selected=0)
+
+
 def search_table(df, query):
-    filtered_df = df[df["model"].str.contains(query, case=False)]
+    filtered_df = df[df["Model 🤗"].str.contains(query, case=False)]
     return filtered_df
 
 
@@ -132,6 +147,14 @@ with demo:
                 elem_id="citation-button",
             ).style(show_copy_button=True)
 
+    dummy = gr.Textbox(visible=False)
+    demo.load(
+        change_tab,
+        dummy,
+        tabs,
+        _js=get_window_url_params,
+    )
+
 # Restart space every hour
 scheduler = BackgroundScheduler()
 scheduler.add_job(restart_space, "interval", seconds=3600,

src/assets/text_content.py

@@ -4,7 +4,7 @@ INTRODUCTION_TEXT = f"""
 The 🤗 Open LLM-Perf Leaderboard 🏋️ aims to benchmark the performance (latency & throughput) of Large Language Models (LLMs) on different hardwares and backends using [Optimum-Benchmark](https://github.com/huggingface/optimum-benchmark) and [Optimum](https://github.com/huggingface/optimum) flavors.
 Anyone from the community can submit a model or a hardware+backend configuration for automated benchmarking:
 - Model submissions should be made in the [🤗 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and will be added to the 🤗 Open LLM-Perf Leaderboard 🏋️ once they're publicly available.
-- Hardware+Backend submissions should be made in the 🤗 Open LLM-Perf Leaderboard 🏋️ [community discussions](https://huggingface.co/spaces/optimum/llm-perf-leaderboard/discussions); An automated process will be set up soon to allow for direct submissions.
+- Hardware+Backend submissions should be made in the 🤗 Open LLM-Perf Leaderboard 🏋️ [community discussions](https://huggingface.co/spaces/optimum/llm-perf-leaderboard/discussions); An automated process will be set up soon.
 
 [Config files](https://github.com/huggingface/optimum-benchmark/blob/main/examples/bert.yaml) (which can be used with Optimum-Benchmark) will be available soon for reproduction and questioning/correction of the results.
 """