Update app.py

app.py

@@ -171,14 +171,14 @@ def CTXGen(X0, X3, X1, X2, τ, g_num, model_name):
 
 with gr.Blocks() as demo:
     gr.Markdown("# Conotoxin Optimization Generation")
-    gr.Markdown("### Input")
-    gr.Markdown("Conotoxin: a conotoxin that needs to be optimized. For example, GCCSDPRCAWRC")
-    gr.Markdown("Positions: the positions that need to be optimized, replaced by X. For example, GCCXXXXCAHRC")
-    gr.Markdown("Subtype: subtype of action. For example, α7")
-    gr.Markdown("Potency: required potency. For example, High")
-    gr.Markdown("τ: temperature factor controls the diversity of conotoxins generated. The higher the value, the higher the diversity")
-    gr.Markdown("Number of generations: if it is not completed within 1200 seconds, it will automatically stop.")
-    gr.Markdown("Model: model parameters trained at different stages of data augmentation. Please refer to the paper for details.")
+    gr.Markdown("#### Input")
+    gr.Markdown("✅**Conotoxin**: a conotoxin that needs to be optimized. For example, GCCSDPRCAWRC")
+    gr.Markdown("✅**Positions**: the positions that need to be optimized, replaced by X. For example, GCCXXXXCAHRC")
+    gr.Markdown("✅**Subtype**: subtype of action. For example, α7")
+    gr.Markdown("✅**Potency**: required potency. For example, High")
+    gr.Markdown("✅**τ**: temperature factor controls the diversity of conotoxins generated. The higher the value, the higher the diversity")
+    gr.Markdown("✅**Number of generations**: if it is not completed within 1200 seconds, it will automatically stop.")
+    gr.Markdown("✅**Model**: model parameters trained at different stages of data augmentation. Please refer to the paper for details.")
     
     with gr.Row():
         X0 = gr.Textbox(label="conotoxin")