import os import pandas as pd import streamlit as st import base64 import json # navigate to url def nav_to(url): nav_script = """ <meta http-equiv="refresh" content="0; url='%s'"> """ % (url) st.write(nav_script, unsafe_allow_html=True) @st.cache_data def df_to_html(df): df = df.fillna("") # Define table styling styles = [ {'selector': 'tr', 'props': [('border-bottom', '1px solid #ccc')]}, # Add bottom border to rows {'selector': 'td, th', 'props': [('border', 'none'), ("text-align", "center"), ('font-size', 'smaller')]}, # Remove cell borders, reduce font size # {'selector': 'tr:hover', 'props': [('background-color', '#b8b8b8')]}, {'selector': 'a:hover', 'props': [('color', 'darkblue')]}, {'selector': '.responsive-table', 'props': [('width', '100%')]}, # Set table width to 100% {'selector': 'thead', 'props': [('border', 'none')]}, # Hide header border {'selector': 'tbody td', 'props': [('border-left', 'none'), ('border-right', 'none')]}, {'selector': 'tr:not(:first-child) td', 'props': [('border-left', 'none'), ('border-right', 'none'), ('border-top', 'none')]}, {'selector': 'table', 'props': [('table-layout', 'fixed')]}, # Prevent overflow ] # Apply table styles and convert DataFrame to HTML styled_html = '<div style="max-width: 100%; overflow-x: auto;">' + df.style.hide(axis="index").set_table_styles(styles).to_html(escape=False, index=False, bold_rows=True, justify='center').replace('<td>', '<td align="center" class="responsive-table">') + '</div>' return styled_html @st.cache_data def render_svg(svg): """Renders the given svg string.""" b64 = base64.b64encode(svg.encode("utf-8")).decode("utf-8") html = rf'<p align="center"> <img src="data:image/svg+xml;base64,{b64}", width="40%"/> </p>' c = st.container() c.write(html, unsafe_allow_html=True) @st.cache_resource def combine_json_files(folder_path): combined_data = {} # Iterate through each file in the folder for filename in os.listdir(folder_path): file_path = os.path.join(folder_path, filename) # Check if the file is a JSON file if filename.endswith('.json'): with open(file_path, 'r') as file: # Load JSON data from the file data = {filename.replace('.json', ''): json.load(file)} # Merge the loaded data into the combined_data dictionary combined_data.update(data) return combined_data @st.cache_data def render_metadata(): """Renders the metadata.""" html = r"""<p align="center"> <a href="https://github.com/cisnlp/GlotWeb"><img alt="GlotWeb GitHub" src="https://img.shields.io/badge/📦 GlotWeb Git-ccccff"></a> <a href="https://github.com/cisnlp/GlotSparse"><img alt="GlotSparse GitHub" src="https://img.shields.io/badge/📦 GlotSparse Git-f4c2c2"></a> <a href="https://github.com/cisnlp/GlotLID"><img alt="GlotLID GitHub" src="https://img.shields.io/badge/📦 GlotLID Git-ed872d"></a> <a href="https://github.com/cisnlp/GlotScript"><img alt="GlotScript GitHub" src="https://img.shields.io/badge/📦 GlotScript Git-78866b"></a> <a href="https://github.com/cisnlp/GlotWeb/blob/main/LICENSE"><img alt="GitHub license" src="https://img.shields.io/github/license/cisnlp/GlotWeb"></a> <a href="https://arxiv.org/abs/xxxx.xxxxx"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-xxxx.xxxxx-b31b1b.svg"></a> </p>""" c = st.container() c.write(html, unsafe_allow_html=True) # Define the function for conditional coloring def color_mapping(listx): bins = len(listx) mean = sum(listx) / (1.0 * bins) if mean == 0: return "🟥" elif mean < 1.0/bins + 0.01: return "🟧" elif mean < 2.0/bins + 0.01: return "🟨" else: return "🟩"