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("