Remove links from streamlit table

streamlit_app.py

@@ -2,6 +2,7 @@ import pandas as pd
 import streamlit as st
 import io
 import requests
+import re
 
 REPO_URL = "https://github.com/LudwigStumpp/llm-leaderboard"
 
@@ -20,6 +21,82 @@ def grab_readme_file_from_repo(repo_url: str) -> str:
     return readme
 
 
+def modify_from_markdown_links_to_html_links(text: str) -> str:
+    """Modifies a markdown text to replace all markdown links with HTML links.
+
+    Example: [DISPLAY](LINK) to <a href=LINK, target="_blank">DISPLAY</a>
+
+    First find all markdown links with regex.
+    Then replace them with: <a href=$2, target="_blank">$1</a>
+
+    Args:
+        text (str): Markdown text containing markdown links
+
+    Returns:
+        str: Markdown text with HTML links.
+    """
+
+    # find all markdown links
+    markdown_links = re.findall(r"\[([^\]]+)\]\(([^)]+)\)", text)
+
+    # replace them with HTML links
+    for display, link in markdown_links:
+        text = text.replace(f"[{display}]({link})", f'<a href="{link}" target="_blank">{display}</a>')
+
+    return text
+
+
+def remove_markdown_links(text: str) -> str:
+    """Modifies a markdown text to remove all markdown links.
+
+    Example: [DISPLAY](LINK) to DISPLAY
+
+    First find all markdown links with regex.
+    Then replace them with: $1
+
+    Args:
+        text (str): Markdown text containing markdown links
+
+    Returns:
+        str: Markdown text without markdown links.
+    """
+
+    # find all markdown links
+    markdown_links = re.findall(r"\[([^\]]+)\]\(([^)]+)\)", text)
+
+    # remove link keep display text
+    for display, link in markdown_links:
+        text = text.replace(f"[{display}]({link})", display)
+
+    return text
+
+
+def extract_table_and_format_from_markdown_text(markdown_table: str) -> pd.DataFrame:
+    """Extracts a table from a markdown text and formats it as a pandas DataFrame.
+
+    Args:
+        text (str): Markdown text containing a table.
+
+    Returns:
+        pd.DataFrame: Table as pandas DataFrame.
+    """
+    df = (
+        pd.read_table(io.StringIO(markdown_table), sep="|", header=0, index_col=1)
+        .dropna(axis=1, how="all")  # drop empty columns
+        .iloc[1:]  # drop first row which is the "----" separator of the original markdown table
+    )
+
+    # change all column datatypes to numeric
+    for col in df.columns:
+        df[col] = pd.to_numeric(df[col], errors="ignore")
+
+    # remove whitespace from column names and index
+    df.columns = df.columns.str.strip()
+    df.index = df.index.str.strip()
+
+    return df
+
+
 def extract_markdown_table_from_multiline(multiline: str, table_headline: str) -> str:
     """Extracts the markdown table from a multiline string.
 
@@ -70,14 +147,8 @@ def setup_basic():
 def setup_table():
     readme = grab_readme_file_from_repo(REPO_URL)
     markdown_table = extract_markdown_table_from_multiline(readme, table_headline="### Leaderboard")
-
-    df = (
-        pd.read_table(io.StringIO(markdown_table), sep="|", header=0, skipinitialspace=True, index_col=1)
-        .dropna(axis=1, how="all")  # drop empty columns
-        .iloc[1:]  # drop first row which is the "----" separator of the original markdown table
-    )
-
-    # show interactive table
+    markdown_table = remove_markdown_links(markdown_table)
+    df = extract_table_and_format_from_markdown_text(markdown_table)
     st.dataframe(df)