Update app.py

app.py

@@ -6,7 +6,7 @@ from xcodec2.modeling_xcodec2 import XCodec2Model
 import torchaudio
 import gradio as gr
 
-llasa_model_id = 'OmniAICreator/Galgame-Llasa-1B'
+llasa_model_id = 'OmniAICreator/Galgame-Llasa-3B'
 
 tokenizer = AutoTokenizer.from_pretrained(llasa_model_id)
 
@@ -151,12 +151,12 @@ def infer(sample_audio_path, target_text, temperature, top_p,  progress=gr.Progr
         return (16000, gen_wav[0, 0, :].cpu().numpy())
 
 with gr.Blocks() as app_tts:
-    gr.Markdown("# Galgame Llasa 1B")
+    gr.Markdown("# Galgame Llasa 3B")
     ref_audio_input = gr.Audio(label="Reference Audio", type="filepath")
     gen_text_input = gr.Textbox(label="Text to Generate", lines=10)
 
     with gr.Row():
-        temperature_slider = gr.Slider(minimum=0.0, maximum=1.0, value=0.5, step=0.05, label="Temperature")
+        temperature_slider = gr.Slider(minimum=0.0, maximum=1.0, value=0.8, step=0.05, label="Temperature")
         top_p_slider = gr.Slider(minimum=0.0, maximum=1.0, value=1.0, step=0.05, label="Top-p")
 
     generate_btn = gr.Button("Synthesize", variant="primary")
@@ -186,9 +186,9 @@ with gr.Blocks() as app_credits:
 with gr.Blocks() as app:
     gr.Markdown(
         """
-# Galgame Llasa 1B
+# Galgame Llasa 3B
 
-This is a local web UI for Galgame Llasa 1B TTS model.
+This is a local web UI for Galgame Llasa 3B TTS model.
 
 The model is fine-tuned by Japanese audio data.