Update app.py

app.py

@@ -530,7 +530,7 @@ with ui:
 							layout["inference_tts"]["inputs"]["context-history"] = gr.Slider(value=0, minimum=0, maximum=4, step=1, label="(Rolling) Context History", info="How many prior lines to serve as the context/prefix (0 to disable).")
 						with gr.Row():
 							layout["inference_tts"]["inputs"]["no-phonemize"] = gr.Checkbox(label="No Phonemize", info="Use raw text rather than phonemize the text as the input prompt.")
-							layout["inference_tts"]["inputs"]["play"] = gr.Checkbox(label="Auto Play", info="Auto play on generation (using sounddevice).")
+							#layout["inference_tts"]["inputs"]["play"] = gr.Checkbox(label="Auto Play", info="Auto play on generation (using sounddevice).")
 					with gr.Tab("Sampler Settings"):
 						with gr.Row():
 							layout["inference_tts"]["inputs"]["ar-temperature"] = gr.Slider(value=1.0, minimum=0.0, maximum=1.5, step=0.05, label="Temperature (AR/NAR-len)", info="Adjusts the probabilities in the AR/NAR-len. (0 to greedy* sample)")
@@ -549,9 +549,9 @@ with ui:
 							layout["inference_tts"]["inputs"]["repetition-penalty-decay"] = gr.Slider(value=0.0, minimum=-2.0, maximum=2.0, step=0.05, label="Repetition Penalty Length Decay", info="Modifies the reptition penalty based on how far back in time the token appeared in the sequence.")
 							layout["inference_tts"]["inputs"]["length-penalty"] = gr.Slider(value=0.0, minimum=-2.0, maximum=2.0, step=0.05, label="Length Penalty", info="(AR only) Modifies the probability of a stop token based on the current length of the sequence.")
 						with gr.Row():
-							layout["inference_tts"]["inputs"]["sampling-scores-masked-only"] = gr.Checkbox(label="Sampled Scores: Masked Only", info="(NAR-len only) Update scores for newly generated tokens only")
+							layout["inference_tts"]["inputs"]["sampling-scores-masked-only"] = gr.Checkbox(label="Sampled Scores: Masked Only", info="(NAR-len only) Update scores for newly generated tokens only", value=True)
 							layout["inference_tts"]["inputs"]["sampling-scores-flattened"] = gr.Checkbox(label="Sampled Scores: Flattened", info="(NAR-len only) Flattens the scores for all codebook levels")
-							layout["inference_tts"]["inputs"]["sampling-scores-remask"] = gr.Checkbox(label="Sampled Scores: Remask", info="(NAR-len only) Remasks P%% of existing tokens randomly after each step.")
+							layout["inference_tts"]["inputs"]["sampling-scores-remask"] = gr.Checkbox(label="Sampled Scores: Remask", info="(NAR-len only) Remasks P%% of existing tokens randomly after each step.", value=True)
 					# These settings are pretty much not supported anyways
 					"""
 					with gr.Tab("Experimental Settings", visible=cfg.experimental):