Update app.py

app.py

@@ -204,7 +204,7 @@ Vote to help the community determine the best text-to-speech (TTS) models.
 
 The leaderboard displays models in descending order of how natural they sound (based on votes cast by the community).
 
-Important: In order to help keep results fair, the leaderboard hides results by default until the number of votes passes a threshold.
+Important: In order to help keep results fair, the leaderboard hides results by default until the number of votes passes a threshold. Tick the `Reveal preliminary results` to show models without sufficient votes. Please note that preliminary results may be inaccurate.
 """.strip()
 
 
@@ -462,11 +462,11 @@ with gr.Blocks() as leaderboard:
     # df = gr.Dataframe(interactive=False, value=get_leaderboard())
     df = gr.Dataframe(interactive=False, min_width=0, wrap=True, column_widths=[30, 200, 50, 50])
     with gr.Row():
-        # reveal_prelim = gr.Checkbox(label="Reveal preliminary results", info="Show all models, including models with very few human ratings.", scale=1)
+        reveal_prelim = gr.Checkbox(label="Reveal preliminary results", info="Show all models, including models with very few human ratings.", scale=1)
         reloadbtn = gr.Button("Refresh", scale=3)
-    # reveal_prelim.input(get_leaderboard, inputs=[reveal_prelim], outputs=[df])
-    leaderboard.load(get_leaderboard, inputs=[], outputs=[df])
-    reloadbtn.click(get_leaderboard, inputs=[], outputs=[df])
+    reveal_prelim.input(get_leaderboard, inputs=[reveal_prelim], outputs=[df])
+    leaderboard.load(get_leaderboard, inputs=[reveal_prelim], outputs=[df])
+    reloadbtn.click(get_leaderboard, inputs=[reveal_prelim], outputs=[df])
     # gr.Markdown("DISCLAIMER: The licenses listed may not be accurate or up to date, you are responsible for checking the licenses before using the models. Also note that some models may have additional usage restrictions.")
 
 # with gr.Blocks() as vote: