Update app.py

app.py

@@ -15,8 +15,21 @@ import streamlit as st
 from PIL import Image
 
 import numpy as np
+st.title("VQ-GAN Prompt Generator")
+st.text("This app generates VQ-GAN prompts for generating inpaintings.")
+st.text("To use this app, simply enter the desired text prompt and hit generate.")
 
  
+@st.cache(allow_output_mutation=True)  # This decorator ensures that the function only runs once per session.  Otherwise, each time we generate a prompt, it would run again!   This is important because we don't want to keep re-generating prompts unnecessarily.  We only want to generate a new prompt when the user enters a new one.   If we didn't cache this function, each time we generated a new prompt, it would also regenerate all of the previous prompts!   Caching is an important concept in Streamlit apps - it can help make your apps much more efficient by avoiding unnecessary computations.
+
+ def generate_prompt(text):    # This is the function that actually generates our VQ-GAN prompt    It takes in a string (the text prompt) and outputs another string (the generated VQ-GAN prompt).     We'll use this function to actually generate our VQ-GAN prompts when the user hits "Generate".
+
+     return "Enter text here" + text + "and hit generate!"
+
+  if __name__ == '__main__':    # This block of code is what actually runs our Streamlit app     When you run `streamlit run app.py` in your terminal, this is what will get executed!
+
+     st.write(generate_prompt(""))    # We start by writing an empty string - this will be replaced with our generated prompt when the user hits "Generate"
+ 
 def inpaint(img, mask):
 
     """Inpaints the given image using the given mask.