app.py

import pandas as pd
import gradio as gr
 
df = pd.read_csv("images.csv")
df['url'] = df['url'].apply(lambda x: '<a href= "' + str(x) + '" target="_blank"> <img src= "' + str(x) + '"/> </a>') 
df = df[[ 'url', 'prompt']]

def display_df():
  df_images = df.head()
  return df_images

def display_next100(dataframe, end):
  start = (end  or dataframe.index[-1]) + 1
  end = start + 99
  df_images = df.loc[start:end]
  return df_images, end
  
with gr.Blocks() as demo:
  gr.Markdown("<h1><center>AIPromptSearch</center></h1>")
  gr.Markdown("""<div align="center">Images and Prompts from <a href = "https://playgroundai.com/">Playground AI</a>. <a href="https://github.com/playgroundai/liked_images">Github</a>.  <a href="https://playgroundai.com/create">Create Your Own Here</a>.""")

  with gr.Row():
    num_end = gr.Number(visible=False)
    b1 = gr.Button("Images and Prompts 0-100")
    b2 = gr.Button("Next 100 Images and Prompts")
    
  with gr.Row():
    out_dataframe = gr.Dataframe(wrap=True, max_rows=100, overflow_row_behaviour= "paginate", datatype = ["markdown", "markdown"], headers=['url', 'prompt'])
    
  b1.click(fn=display_df, outputs=out_dataframe) 
  b2.click(fn=display_next100, inputs= [out_dataframe, num_end ], outputs=[out_dataframe, num_end])

demo.launch(debug=True, show_error=True)