Update app.py

app.py

@@ -7,7 +7,7 @@ import torchaudio
 import gradio as gr
 import re
 
-llasa_model_id = 'OmniAICreator/Llasa-1B-run1'
+llasa_model_id = 'OmniAICreator/Galgame-Llasa-1B-v2'
 
 tokenizer = AutoTokenizer.from_pretrained(llasa_model_id)
 
@@ -216,7 +216,7 @@ def infer(sample_audio_path, target_text, temperature, top_p, repetition_penalty
         return (16000, gen_wav[0, 0, :].cpu().numpy())
 
 with gr.Blocks() as app_tts:
-    gr.Markdown("# Galgame Llasa 3B")
+    gr.Markdown("# Galgame Llasa 1B v2")
     ref_audio_input = gr.Audio(label="Reference Audio", type="filepath")
     gen_text_input = gr.Textbox(label="Text to Generate", lines=10)
 
@@ -253,9 +253,9 @@ with gr.Blocks() as app_credits:
 with gr.Blocks() as app:
     gr.Markdown(
         """
-# Galgame Llasa 3B
+# Galgame Llasa 1B v2
 
-This is a local web UI for Galgame Llasa 3B TTS model. You can check out the model [here](https://huggingface.co/OmniAICreator/Galgame-Llasa-3B).
+This is a local web UI for Galgame Llasa 1B v2 TTS model. You can check out the model [here](https://huggingface.co/OmniAICreator/Galgame-Llasa-1B-v2).
 
 The model is fine-tuned by Japanese audio data.