update

app.py

@@ -17,7 +17,7 @@ last_result = {}
 # Function to clear all inputs
 def clear_inputs():
     # Return default or empty values to reset each input component
-    return None, 24, 64, 0
+    return None, 8, 8, 0
 
 def sample(smi, search_width, exhaustiveness):
     result_df = run_sampling_one_cpu(
@@ -58,7 +58,7 @@ with gr.Blocks() as demo:
         # Demo of [SynFormer](https://github.com/wenhao-gao/synformer/tree/main)
         This page demonstrates the SynFormer-ED model, which takes a molecule as input—regardless of its synthetic accessibility—and outputs 
                 identical or approximate molecules along with their associated synthetic paths. The demo runs on CPUs and typically takes about 
-                one minute per run but can be accelerated by reducing the search width and exhaustiveness. The model may take longer if the server 
+                one minute per run on local machine, but can be accelerated by reducing the search width and exhaustiveness. The model may take longer if the server 
                 is busy. Since the sampling is stochastic, you may run the demo multiple times to explore different results, with a maximum of 
                 30 molecules displayed at once.
         To learn more about SynFormer’s architecture and applications, check out [our paper](https://github.com/wenhao-gao/synformer/tree/main).
@@ -68,8 +68,8 @@ with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column(scale=0.5):
             input_molecule = molecule2d(label="SMILES Input")
-            slider_1 = gr.Slider(minimum=1, maximum=100, step=1, label="Search Width", value=24)
-            slider_2 = gr.Slider(minimum=1, maximum=100, step=1, label="Exhaustiveness", value=64)
+            slider_1 = gr.Slider(minimum=1, maximum=100, step=1, label="Search Width", value=8)
+            slider_2 = gr.Slider(minimum=1, maximum=100, step=1, label="Exhaustiveness", value=8)
 
             with gr.Row():
                 with gr.Column(scale=0.5):
@@ -119,4 +119,4 @@ with gr.Blocks() as demo:
         outputs=[input_molecule, slider_1, slider_2, index_slider]
     )
 
-demo.launch()
+demo.launch()