Update app.py

app.py

@@ -547,7 +547,7 @@ with gr.Blocks() as demo:
 
     gr.Markdown("## Key Features")
     gr.Markdown("""
-    - **Efficient Architecture with RoPE**: Compact and very fast 479M full attention autoregressive transformer with RoPE.
+    - **Efficient Architecture with RoPE**: Large optimized 748M full attention autoregressive transformer with RoPE.
     - **Extended Sequence Length**: 8k tokens that comfortably fit most music compositions and facilitate long-term music structure generation.
     - **Premium Training Data**: Trained solely on the highest-quality MIDIs from the Godzilla MIDI dataset.
     - **Optimized MIDI Encoding**: Extremely efficient MIDI representation using only 3 tokens per note and 7 tokens per tri-chord.
@@ -596,7 +596,7 @@ with gr.Blocks() as demo:
     
     num_prime_tokens = gr.Slider(16, 6656, value=6656, step=1, label="Number of prime tokens")
     num_gen_tokens = gr.Slider(16, 1024, value=512, step=1, label="Number of tokens to generate")
-    model_temperature = gr.Slider(0.1, 1, value=0.95, step=0.01, label="Model temperature")
+    model_temperature = gr.Slider(0.1, 1, value=0.9, step=0.01, label="Model temperature")
     model_top_p = gr.Slider(0.1, 1.0, value=0.96, step=0.01, label="Model sampling top p value")
     add_drums = gr.Checkbox(value=False, label="Add drums")
     add_outro = gr.Checkbox(value=False, label="Add an outro")