Update app.py

app.py

@@ -2,8 +2,11 @@ import os
 import urllib.request
 import io
 import re
-
 import streamlit as st
+
+# Set the page configuration as the very first Streamlit command.
+st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
+
 from PIL import Image
 import fitz  # PyMuPDF
 
@@ -15,7 +18,6 @@ from reportlab.pdfbase import pdfmetrics
 from reportlab.pdfbase.ttfonts import TTFont
 
 # --- Step 1: Define and Download Available Emoji Fonts ---
-# List of available TTF filenames from the repository.
 font_files = [
     "Noto-COLRv1-emojicompat.ttf",
     "Noto-COLRv1-noflags.ttf",
@@ -27,10 +29,8 @@ font_files = [
     "NotoColorEmoji_WindowsCompatible.ttf"
 ]
 
-# Base URL to download the fonts from GitHub
 base_font_url = "https://github.com/googlefonts/noto-emoji/raw/main/fonts/"
 
-# Download each font if not already present.
 for font_file in font_files:
     if not os.path.exists(font_file):
         st.info(f"Downloading {font_file}...")
@@ -41,7 +41,6 @@ for font_file in font_files:
             st.error(f"Failed to download {font_file}: {e}")
 
 # --- Step 2: Allow User to Select the Emoji Font ---
-# Create a mapping for display (remove the .ttf extension for clarity)
 font_display_names = {f: f.replace(".ttf", "") for f in font_files}
 selected_font_file = st.sidebar.selectbox(
     "Select Emoji Font",
@@ -49,15 +48,10 @@ selected_font_file = st.sidebar.selectbox(
     format_func=lambda f: font_display_names[f]
 )
 
-# Register the selected font with ReportLab.
-# We use the display name (without .ttf) as the registered font name.
 registered_font_name = font_display_names[selected_font_file]
 pdfmetrics.registerFont(TTFont(registered_font_name, selected_font_file))
 
-# --- Streamlit App Setup ---
-st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
-
-# Default markdown content with emojis
+# --- Default Markdown Content with Emojis ---
 default_markdown = """# Cutting-Edge ML Outline
 
 ## Core ML Techniques
@@ -139,7 +133,7 @@ def markdown_to_pdf_content(markdown_text):
             continue
             
         if line.startswith('# '):
-            # Optionally, skip main title
+            # Optionally skip main title
             pass
         elif line.startswith('## '):
             if current_item and sub_items:
@@ -205,7 +199,6 @@ def create_main_pdf(markdown_text, base_font_size=10, auto_size=False):
     section_font_size = base_font_size * 1.2
     title_font_size = min(16, base_font_size * 1.5)
     
-    # Define styles using the selected emoji-supporting font.
     title_style = ParagraphStyle(
         'Heading1',
         parent=styles['Heading1'],