Finetuning_Dataset / stream_new.py
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import streamlit as st
import os
from PIL import Image
import math
# 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
# Pagination settings
items_per_page = 5
total_items = len(file_map)
total_pages = math.ceil(total_items / items_per_page)
page = st.sidebar.slider('Page', 1, total_pages, 1)
# Calculate the start and end indices for the current page
start_idx = (page - 1) * items_per_page
end_idx = start_idx + items_per_page
# Display images and text files side by side with editing capability
for image_file, text_file in list(file_map.items())[start_idx:end_idx]:
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:
text_path = os.path.join(folder_path, text_file)
with open(text_path, 'r') as file:
text_content = file.read()
# Text area for editing text content
updated_text = st.text_area(text_file, text_content, height=300)
# Save the edited content back to the file if changes were made
if st.button(f'Save {text_file}'):
with open(text_path, 'w') as file:
file.write(updated_text)
st.success(f"Changes to {text_file} saved successfully.")