Update app.py

app.py

@@ -88,9 +88,23 @@ def generate_preds_field(desc_field, num_beams_field, num_returned_seqs_field):
 
 demo = gr.Blocks()
 with demo:
-    gr.Markdown("<h1><center>RecipeGen: Automated TAPs Generation Tool</center></h1>")
-    gr.Markdown("<center>This demo allows you to generate TAPs (Trigger Action Programs) using functionality description described in English. You can learn the working detail of our tool from our paper<center>")
-    gr.Markdown("<h3>Instructions<h3>")
+    gr.Markdown("<h1><center>RecipeGen: Automated Trigger Action Programs (TAPs) Generation Tool</center></h1>")
+    # gr.Markdown("This demo allows you to generate TAPs using functionality description described in English. You can learn the working detail of our tool from our paper")
+    gr.Markdown("<h3>What is TAP?</h3>")
+    gr.Markdown("""
+        TAPs or Trigger Action Programs are an event-driven rules used to automate smart devices and/or internet services. TAPs are written in the form of "IF <trigger> then execute <action>, 
+        where <trigger> and <action> refer to API calls. TAPs has been used in various use cases, ranging from home monitoring system to business workflow automation.
+        """)
+    gr.Markdown("<h3>Why generating TAPs can be challenging?</h3>")
+    gr.Markdown("""
+        Generating TAP is challenging mainly because of the large search space of the API calls that can be used as the trigger and action.
+    """)
+    gr.Markdown("<h3>RecipeGen</h3?>")
+    gr.Markdown("""
+        RecipeGen is a deep learning-based tool that can assist end-users to generate TAPs using natural language description. End-users can describe the functionality of the intended TAP, then RecipeGen
+        will generate the candidate TAPs based those descriptions.
+    """)
+    gr.Markdown("<h3>Instructions</h3>")
     gr.Markdown("""
     1. Select the generation granularity (i.e., Channel, Function, or Field)
     2. Describe your intended functionality