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import streamlit as st
import os
from PIL import Image
# Function to list files with given extensions
def list_files(folder_path, extensions):
files = [f for f in os.listdir(folder_path) if os.path.isfile(os.path.join(folder_path, f))]
return [f for f in files if f.split('.')[-1] in extensions]
# Set up Streamlit app
st.title("Display Images and Corresponding Text Files")
# Define the folder path
folder_path = "/home/caimera-prod/kohya_new_dataset"
# List of allowed image and text extensions
image_extensions = ['jpg', 'jpeg', 'png']
text_extensions = ['txt']
# Get the list of image and text files
files = list_files(folder_path, image_extensions + text_extensions)
# Filter files into images and texts
images = [f for f in files if f.split('.')[-1] in image_extensions]
texts = [f for f in files if f.split('.')[-1] in text_extensions]
# Create a dictionary to map image files to their corresponding text files
file_map = {}
for image in images:
base_name = os.path.splitext(image)[0]
corresponding_text = base_name + '.txt'
if corresponding_text in texts:
file_map[image] = corresponding_text
# Display images and text files side by side
for image_file, text_file in file_map.items():
col1, col2 = st.columns(2)
with col1:
st.image(os.path.join(folder_path, image_file), caption=image_file, use_column_width=True)
with col2:
with open(os.path.join(folder_path, text_file), 'r') as file:
st.text_area(text_file, file.read(), height=300)