Update app.py

app.py

@@ -3,21 +3,21 @@ import io
 import re
 import streamlit as st
 
-# 🚀 Set page configuration FIRST! (No delays, no mischief) ⚡
+# Must be the very first Streamlit command.
 st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
 
-from PIL import Image  # For image handling 😎
-import fitz  # PyMuPDF, our PDF-to-image magician 🧙‍♂️
+from PIL import Image
+import fitz  # PyMuPDF
 
-from reportlab.lib.pagesizes import A4  # Standard page size for PDFs 📄
+from reportlab.lib.pagesizes import A4
 from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle
 from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
-from reportlab.lib import colors  # Because colors make everything prettier 🎨
+from reportlab.lib import colors
 from reportlab.pdfbase import pdfmetrics
 from reportlab.pdfbase.ttfonts import TTFont
 
-# ----------------------------------------------------------------------------
-# AVAILABLE EMOJI FONTS (all TTF files are in the base directory) 🎉
+# ---------------------------------------------------------------
+# Define available NotoEmoji fonts (all in the base directory now)
 available_fonts = {
     "NotoEmoji Variable": "NotoEmoji-VariableFont_wght.ttf",
     "NotoEmoji Bold": "NotoEmoji-Bold.ttf",
@@ -27,20 +27,20 @@ available_fonts = {
     "NotoEmoji SemiBold": "NotoEmoji-SemiBold.ttf"
 }
 
-# Sidebar: Let the user pick their favorite emoji font 🥳
+# Sidebar: Let the user choose the desired NotoEmoji font.
 selected_font_name = st.sidebar.selectbox(
     "Select NotoEmoji Font",
     options=list(available_fonts.keys())
 )
 selected_font_path = available_fonts[selected_font_name]
 
-# Register the chosen emoji font with ReportLab 🖋️
+# Register the chosen emoji font with ReportLab.
 pdfmetrics.registerFont(TTFont(selected_font_name, selected_font_path))
 
-# ----------------------------------------------------------------------------
-# HELPER FUNCTION: Wrap emoji characters with our awesome emoji font 🎭
+# ---------------------------------------------------------------
+# Helper function to wrap emoji characters with a font tag.
 def apply_emoji_font(text, emoji_font):
-    # Regex that matches many common emoji ranges 😁
+    # This regex attempts to capture many common emoji ranges.
     emoji_pattern = re.compile(
         r"([\U0001F300-\U0001F5FF"
         r"\U0001F600-\U0001F64F"
@@ -52,12 +52,12 @@ def apply_emoji_font(text, emoji_font):
         r"\U0001FA00-\U0001FA6F"
         r"\U0001FA70-\U0001FAFF"
         r"\u2600-\u26FF"
-        r"\u2700-\u27BF)+"
+        r"\u2700-\u27BF]+)"
     )
     # Wrap found emoji with a font tag using the selected emoji font.
     return emoji_pattern.sub(r'<font face="{}">\1</font>'.format(emoji_font), text)
 
-# ----------------------------------------------------------------------------
+# ---------------------------------------------------------------
 # Default markdown content with emojis.
 default_markdown = """# Cutting-Edge ML Outline
 
@@ -126,7 +126,7 @@ default_markdown = """# Cutting-Edge ML Outline
     - Documentation synthesis
 """
 
-# ----------------------------------------------------------------------------
+# ---------------------------------------------------------------
 # Process markdown into a two-column layout for the PDF.
 def markdown_to_pdf_content(markdown_text):
     lines = markdown_text.strip().split('\n')
@@ -172,7 +172,7 @@ def markdown_to_pdf_content(markdown_text):
     
     return left_column, right_column
 
-# ----------------------------------------------------------------------------
+# ---------------------------------------------------------------
 # Create the PDF using ReportLab.
 def create_main_pdf(markdown_text, base_font_size=10, auto_size=False):
     buffer = io.BytesIO()
@@ -207,7 +207,7 @@ 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 ParagraphStyles using Helvetica for non-emoji text.
+    # Define ParagraphStyles using Helvetica for normal text.
     title_style = ParagraphStyle(
         'Heading1',
         parent=styles['Heading1'],
@@ -246,13 +246,13 @@ def create_main_pdf(markdown_text, base_font_size=10, auto_size=False):
         spaceAfter=1
     )
     
-    # Apply emoji font wrapping to the title and each paragraph.
     story.append(Paragraph(apply_emoji_font("Cutting-Edge ML Outline (ReportLab)", selected_font_name), title_style))
     story.append(Spacer(1, spacer_height))
     
     left_cells = []
     for item in left_column:
         if isinstance(item, str) and item.startswith('<b>'):
+            # Process section headings.
             text = item.replace('<b>', '').replace('</b>', '')
             left_cells.append(Paragraph(apply_emoji_font(text, selected_font_name), section_style))
         elif isinstance(item, list):
@@ -300,7 +300,7 @@ def create_main_pdf(markdown_text, base_font_size=10, auto_size=False):
     buffer.seek(0)
     return buffer.getvalue()
 
-# ----------------------------------------------------------------------------
+# ---------------------------------------------------------------
 # Convert PDF bytes to an image for preview using PyMuPDF.
 def pdf_to_image(pdf_bytes):
     try:
@@ -314,7 +314,7 @@ def pdf_to_image(pdf_bytes):
         st.error(f"Failed to render PDF preview: {e}")
         return None
 
-# ----------------------------------------------------------------------------
+# ---------------------------------------------------------------
 # Sidebar options for text size.
 with st.sidebar:
     auto_size = st.checkbox("Auto-size text", value=True)
@@ -328,7 +328,7 @@ with st.sidebar:
 if 'markdown_content' not in st.session_state:
     st.session_state.markdown_content = default_markdown
 
-# ----------------------------------------------------------------------------
+# ---------------------------------------------------------------
 # Generate the PDF.
 with st.spinner("Generating PDF..."):
     pdf_bytes = create_main_pdf(st.session_state.markdown_content, base_font_size, auto_size)