adding proprietary models

app.py

@@ -142,19 +142,43 @@ def request_model(model_text, chbcoco2017):
     except Exception as e:
         return styled_error(f"Error submitting request!")
 
+def filter_main_table(show_proprietary=True):
+    filtered_df = original_df.copy()
+    
+    # Filter proprietary models if needed
+    if not show_proprietary and "License" in filtered_df.columns:
+        # Keep only models with "Open" license
+        filtered_df = filtered_df[filtered_df["License"] == "Open"]
+        
+    return filtered_df
+
 with gr.Blocks(css=LEADERBOARD_CSS) as demo:
     gr.HTML(BANNER, elem_id="banner")
     gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
         with gr.TabItem("🏅 Leaderboard", elem_id="od-benchmark-tab-table", id=0):
+
             leaderboard_table = gr.components.Dataframe(
                 value=original_df,
                 datatype=TYPES,
                 elem_id="leaderboard-table",
                 interactive=False,
                 visible=True,
+            )
+            with gr.Row():
+                show_proprietary_checkbox = gr.Checkbox(
+                    label="Show proprietary models",
+                    value=True,
+                    elem_id="show-proprietary-checkbox"
                 )
+            
+            # Connect checkbox to the filtering function
+            show_proprietary_checkbox.change(
+                filter_main_table,
+                inputs=[show_proprietary_checkbox],
+                outputs=leaderboard_table
+            )
         with gr.TabItem("🔄 Whisper Model Leaderboard", elem_id="whisper-backends-tab", id=1):
             gr.Markdown("## Whisper Model Performance Across Different Backends", elem_classes="markdown-text")
             gr.Markdown("This table shows how different Whisper model implementations compare in terms of performance and speed.", elem_classes="markdown-text")

init.py

@@ -4,7 +4,7 @@ from pathlib import Path
 from huggingface_hub import HfApi, Repository
 
 TOKEN_HUB = os.environ.get("TOKEN_HUB", None)
-QUEUE_REPO = os.environ.get("QUEUE_REPO", "hf-audio/leaderboard-evals")
+QUEUE_REPO = os.environ.get("QUEUE_REPO", "Steveeeeeeen/leaderboard_evals")
 QUEUE_REPO_WHISPER = os.environ.get("QUEUE_REPO_WHISPER", "Steveeeeeeen/whisper-leaderboard-evals")
 QUEUE_PATH = os.environ.get("QUEUE_PATH", "results")
 QUEUE_PATH_WHISPER = os.environ.get("QUEUE_PATH_WHISPER", "whisper-results")