Static mode

app.py

@@ -70,6 +70,7 @@ with gr.Blocks(css=".gradio-container{max-width:95%!important} .tab-buttons butt
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
         with gr.Tab("🏅 LLM Benchmark"):
+            """
             with gr.Row():
                 with gr.Column():
                     namefilter = gr.Textbox(max_lines=1, placeholder="Search by model name and hit Enter...", show_label=False)
@@ -88,7 +89,8 @@ with gr.Blocks(css=".gradio-container{max-width:95%!important} .tab-buttons butt
             
             for filter in [colfilter,typefilter,archfilter,sizefilter]:
                 filter.input(filter_table, [colfilter,namefilter,typefilter,archfilter,sizefilter], table)
-
+            """
+            gr.Markdown("This tab temporarily disabled. If you need archived eval data, check the Files tab for data.csv.")
         with gr.Tab("⚖️ Comparison"):
             gr.Markdown("This table is whitelisted to one model per architecture, specifically 1.5B models trained on The Pile for 1 epoch, for a direct comparison of architectures.")
             gr.Dataframe(data[data["Name"].isin(["devingulliver/llama-pile-350b","RWKV/rwkv-4-1b5-pile","state-spaces/mamba-1.4b","danfu09/H3-1.3B","state-spaces/mamba2-1.3b"])].drop(["Type","Model Size","Base Model"], axis=1), datatype="markdown")
@@ -109,7 +111,7 @@ with gr.Blocks(css=".gradio-container{max-width:95%!important} .tab-buttons butt
             with gr.Group():
                 with gr.Row():
                     model_name = gr.Textbox(max_lines=1, placeholder="Enter model name...", show_label=False, scale=4)
-                    submit = gr.Button("Submit", variant="primary", scale=0)
+                    submit = gr.Button("Submit", variant="primary", scale=0, interactive=False)
             
             output = gr.Markdown("Enter a public HF repo id, then hit Submit to add it to the evaluation queue.")