Update app.py

app.py

@@ -17,10 +17,9 @@ st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
 def create_pdf_tab(default_markdown):
     # Dynamically load all .ttf fonts from the current directory
     # Fonts are sourced from: https://fonts.google.com/download/next-steps
-    # We use glob to find all .ttf files, making the font list dynamic instead of hardcoded.
     font_files = glob.glob("*.ttf")
     if not font_files:
-        st.error("No .ttf font files found in the current directory. Please add some, e.g., NotoColorEmoji-Regular.ttf.")
+        st.error("No .ttf font files found in the current directory. Please add some, e.g., NotoColorEmoji-Regular.ttf or NotoEmoji-Regular.ttf.")
         return
     available_fonts = {os.path.splitext(os.path.basename(f))[0]: f for f in font_files}
 
@@ -28,12 +27,11 @@ def create_pdf_tab(default_markdown):
     with st.sidebar:
         selected_font_name = st.selectbox("Select Font", options=list(available_fonts.keys()), index=0 if "NotoColorEmoji-Regular" in available_fonts else 0)
         selected_font_path = available_fonts[selected_font_name]
-        base_font_size = st.slider("Font Size (points)", min_value=6, max_value=16, value=9, step=1)  # Default to 9
+        base_font_size = st.slider("Font Size (points)", min_value=6, max_value=16, value=9, step=1)
         plain_text_mode = st.checkbox("Render as Plain Text (Preserve Bold Only)", value=False)
         auto_bold_numbers = st.checkbox("Auto-Bold Numbered Lines", value=False)
-        num_columns = st.selectbox("Number of Columns", options=[1, 2, 3, 4, 5, 6], index=3)  # Default to 4
+        num_columns = st.selectbox("Number of Columns", options=[1, 2, 3, 4, 5, 6], index=3)
 
-        # Markdown editor and buttons
         if 'markdown_content' not in st.session_state:
             st.session_state.markdown_content = default_markdown
         
@@ -44,16 +42,18 @@ def create_pdf_tab(default_markdown):
         
         st.download_button(label="Save Markdown", data=st.session_state.markdown_content, file_name="deities_guide.md", mime="text/markdown")
 
-    # Register the selected font with ReportLab
-    # Note: Fonts must be TrueType (.ttf) for ReportLab compatibility.
-    pdfmetrics.registerFont(TTFont(selected_font_name, selected_font_path))
+    # Register the selected font
+    # Noto Color Emoji is a color font, which ReportLab may not render correctly (monochrome only).
+    # If emojis don’t show, try a monochrome font like NotoEmoji-Regular.ttf as a fallback.
+    try:
+        pdfmetrics.registerFont(TTFont(selected_font_name, selected_font_path))
+    except Exception as e:
+        st.error(f"Failed to register font {selected_font_name}: {e}")
+        return
 
-    # Emoji font application function
-    # This function handles Unicode emojis in the text, applying the selected font to them.
-    # We use a regex to match emoji ranges (Unicode blocks like Miscellaneous Symbols, Emoticons, etc.).
-    # To avoid multi-character emoji issues (e.g., base char + variation selector U+FE0F), we limit to the first character.
-    # Noto Color Emoji (NotoColorEmoji-Regular.ttf) is recommended as it supports a full range of modern emojis,
-    # including color rendering, though ReportLab renders in black-and-white by default.
+    # Emoji font application
+    # We apply the selected font to emojis, falling back to plain text if the font doesn’t support them.
+    # ReportLab needs explicit font tagging for emojis; Noto Color Emoji may need special handling.
     def apply_emoji_font(text, emoji_font):
         emoji_pattern = re.compile(
             r"([\U0001F300-\U0001F5FF"  # Miscellaneous Symbols and Pictographs
@@ -71,16 +71,13 @@ def create_pdf_tab(default_markdown):
         )
         def replace_emoji(match):
             emoji = match.group(1)
-            # Limit to first character to avoid rendering issues with multi-codepoint emojis
-            # Example: ✝️ (U+271D U+FE0F) becomes just ✝ (U+271D), dropping the variation selector
-            if len(emoji) > 1:
+            if len(emoji) > 1:  # Limit to first character to avoid multi-codepoint issues
                 emoji = emoji[0]
+            # Wrap emoji in font tag; if it doesn’t render, it’ll show as text
             return f'<font face="{emoji_font}">{emoji}</font>'
         return emoji_pattern.sub(replace_emoji, text)
 
-    # Convert markdown to PDF content
-    # This function processes markdown lines, filtering out headers and applying bolding rules.
-    # If auto_bold_numbers is True, lines starting with "number. " (e.g., "1. ") are bolded.
+    # Markdown to PDF content
     def markdown_to_pdf_content(markdown_text, plain_text_mode, auto_bold_numbers):
         lines = markdown_text.strip().split('\n')
         pdf_content = []
@@ -111,10 +108,6 @@ def create_pdf_tab(default_markdown):
         return pdf_content, total_lines
 
     # Create PDF
-    # This function builds a PDF using ReportLab, arranging content in columns.
-    # We use a double A4 landscape layout (A4 width * 2) for wide content.
-    # Spacers are added before numbered sections for visual separation.
-    # Paragraph styles define font sizes and bolding, with emojis rendered via the selected font.
     def create_pdf(markdown_text, base_font_size, plain_text_mode, num_columns, auto_bold_numbers):
         buffer = io.BytesIO()
         page_width = A4[0] * 2
@@ -129,6 +122,7 @@ def create_pdf_tab(default_markdown):
         item_font_size = base_font_size
         section_font_size = base_font_size * 1.1
 
+        # Use Helvetica as a fallback for text, emoji font for emojis
         section_style = ParagraphStyle(
             'SectionStyle', parent=styles['Heading2'], fontName="Helvetica-Bold",
             textColor=colors.darkblue, fontSize=section_font_size, leading=section_font_size * 1.2, spaceAfter=2
@@ -186,8 +180,7 @@ def create_pdf_tab(default_markdown):
         buffer.seek(0)
         return buffer.getvalue()
 
-    # Convert PDF to image for preview
-    # Uses PyMuPDF (fitz) to render PDF pages as images for Streamlit display.
+    # PDF to image
     def pdf_to_image(pdf_bytes):
         try:
             doc = fitz.open(stream=pdf_bytes, filetype="pdf")
@@ -245,7 +238,7 @@ default_markdown = """# Deities Guide: Mythology and Moral Lessons 🌟
 
 5. 🌠 Ascension and Signs
    - Paths: Birth, deeds, revelation, as with Jesus and Arjuna.
-   - Signs: Miracles and prophecies, like those in the Quran and Gita Kobe.
+   - Signs: Miracles and prophecies, like those in the Quran and Gita.
    - Morals: Obedience and devotion shape destiny.
 
 6. 🎲 Storytelling and Games