import pandas as pd import gradio as gr df = pd.read_csv("images.csv") df['url'] = df['url'].apply(lambda x: ' ') df = df[[ 'url', 'prompt']] def display_df(): df_images = df.head(1000) return df_images def display_df_search(search): df_images = df.loc[df['prompt'].str.contains(search, case=False, na=False)] #df_images = df.head(1000) return df_images def display_next1000(dataframe, end): dataframe = dataframe.sample(frac=1) start = (end or dataframe.index[-1]) + 1 end = start + 999 df_images = df.loc[start:end] return df_images, end def Match(name): pd.set_option("display.max_rows", None) data = df swith=data.loc[data['prompt'].str.contains(name, case=False, na=False)] return swith with gr.Blocks() as demo: gr.Markdown("

🍰PrompTart🎨

") gr.Markdown("""
Art Prompts from Playground. Git. Create Art Here. Papers,Code,Datasets for SOTA in Art""") with gr.Row(): num_end = gr.Number(visible=False) b1 = gr.Button("Images and Prompts 0-1000") b2 = gr.Button("Next 1000 Images and Prompts") with gr.Row(): # inputs and buttons inp = gr.Textbox(lines=1, default="", label="Search") b3 = gr.Button("Search") with gr.Row(): out_dataframe = gr.Dataframe(wrap=True, max_rows=1000, overflow_row_behaviour= "paginate", datatype = ["markdown", "markdown"], headers=['url', 'prompt']) b1.click(fn=display_df, outputs=out_dataframe) b2.click(fn=display_next1000, inputs= [out_dataframe, num_end ], outputs=[out_dataframe, num_end]) b3.click(fn=display_df_search, inputs=inp, outputs=out_dataframe) demo.launch(debug=True, show_error=True)