Update app.py

app.py

@@ -155,13 +155,13 @@ with gr.Blocks() as demo:
     gr.Markdown("🔗 **[Optimization Generation](https://huggingface.co/spaces/oucgc1996/CTXGen_optimization_generation)**")
     gr.Markdown("# Conotoxin Conditional Generation")
     gr.Markdown("#### Input")
-    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("✅**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("✅**Length range**: expected length range of conotoxins generated")
+    gr.Markdown("✅**Length range**: expected length range of conotoxins generated.")
     gr.Markdown("✅**Model**: model parameters trained at different stages of data augmentation. Please refer to the paper for details.")
-    gr.Markdown("✅**Seed**: Enter an integer as the random seed to ensure reproducible results. The default is random")
+    gr.Markdown("✅**Seed**: enter an integer as the random seed to ensure reproducible results. The default is random.")
     
     with gr.Row():
         X1 = gr.Dropdown(choices=['<α7>','<AChBP>','<α4β2>','<α3β4>','<Ca22>','<α3β2>', '<Na12>','<α9α10>','<K16>', '<α1β1γδ>',