| import streamlit as st |
| import os |
| from PIL import Image |
|
|
| |
| 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] |
|
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| |
| st.title("Display Images and Corresponding Text Files") |
|
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| |
| folder_path = "/home/caimera-prod/kohya_new_dataset" |
|
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| |
| image_extensions = ['jpg', 'jpeg', 'png'] |
| text_extensions = ['txt'] |
|
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| |
| files = list_files(folder_path, image_extensions + text_extensions) |
|
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| |
| 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] |
|
|
| |
| 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 |
|
|
| |
| 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) |
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