app.py

import io
import re
import os
import glob
import asyncio
import hashlib
import unicodedata
import streamlit as st
from PIL import Image
import fitz
import edge_tts
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
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont

st.set_page_config(layout="wide", initial_sidebar_state="collapsed")

async def generate_audio(text, voice):
    filename = f"{hashlib.md5(text.encode()).hexdigest()}_{voice}.mp3"
    communicate = edge_tts.Communicate(text, voice)
    await communicate.save(filename)
    return filename

def apply_emoji_font(text, emoji_font):
    emoji_pattern = re.compile(
        r"([\U0001F300-\U0001F5FF"
        r"\U0001F600-\U0001F64F"
        r"\U0001F680-\U0001F6FF"
        r"\U0001F700-\U0001F77F"
        r"\U0001F780-\U0001F7FF"
        r"\U0001F800-\U0001F8FF"
        r"\U0001F900-\U0001F9FF"
        r"\U0001FA00-\U0001FA6F"
        r"\U0001FA70-\U0001FAFF"
        r"\u2600-\u26FF"
        r"\u2700-\u27BF]+)"
    )
    def replace_emoji(match):
        emoji = match.group(1)
        emoji = unicodedata.normalize('NFC', emoji)
        return f'<font face="{emoji_font}">{emoji}</font>'
    segments = []
    last_pos = 0
    for match in emoji_pattern.finditer(text):
        start, end = match.span()
        if last_pos < start:
            segments.append(f'<font face="DejaVuSans">{text[last_pos:start]}</font>')
        segments.append(replace_emoji(match))
        last_pos = end
    if last_pos < len(text):
        segments.append(f'<font face="DejaVuSans">{text[last_pos:]}</font>')
    return ''.join(segments)

def markdown_to_pdf_content(markdown_text, render_with_bold, auto_bold_numbers):
    lines = markdown_text.strip().split('\n')
    pdf_content = []
    number_pattern = re.compile(r'^\d+\.\s')
    for line in lines:
        line = line.strip()
        if not line or line.startswith('# '):
            continue
        if render_with_bold:
            line = re.sub(r'\*\*(.*?)\*\*', r'<b>\1</b>', line)
        if auto_bold_numbers and number_pattern.match(line):
            if not (line.startswith("<b>") and line.endswith("</b>")):
                line = f"<b>{line}</b>"
        pdf_content.append(line)
    total_lines = len(pdf_content)
    return pdf_content, total_lines

def create_pdf(markdown_text, base_font_size, render_with_bold, auto_bold_numbers, enlarge_numbered, num_columns):
    buffer = io.BytesIO()
    page_width = A4[0] * 2
    page_height = A4[1]
    doc = SimpleDocTemplate(buffer, pagesize=(page_width, page_height), leftMargin=36, rightMargin=36, topMargin=36, bottomMargin=36)
    styles = getSampleStyleSheet()
    spacer_height = 10
    section_spacer_height = 15
    pdf_content, total_lines = markdown_to_pdf_content(markdown_text, render_with_bold, auto_bold_numbers)
    item_style = ParagraphStyle(
        'ItemStyle', parent=styles['Normal'], fontName="DejaVuSans",
        fontSize=base_font_size, leading=base_font_size * 1.15, spaceAfter=1
    )
    bold_style = ParagraphStyle(
        'BoldStyle', parent=styles['Normal'], fontName="NotoEmoji-Bold",
        fontSize=base_font_size, leading=base_font_size * 1.15, spaceAfter=1
    )
    numbered_bold_style = ParagraphStyle(
        'NumberedBoldStyle', parent=styles['Normal'], fontName="NotoEmoji-Bold",
        fontSize=base_font_size + 1 if enlarge_numbered else base_font_size,
        leading=(base_font_size + 1) * 1.15 if enlarge_numbered else base_font_size * 1.15, spaceAfter=1
    )
    section_style = ParagraphStyle(
        'SectionStyle', parent=styles['Heading2'], fontName="DejaVuSans",
        textColor=colors.darkblue, fontSize=base_font_size * 1.1, leading=base_font_size * 1.32, spaceAfter=2
    )
    try:
        available_font_files = glob.glob("*.ttf")
        if not available_font_files:
            st.error("No .ttf font files found in the current directory.")
            return
        selected_font_path = None
        for f in available_font_files:
            if "NotoEmoji-Bold" in f:
                selected_font_path = f
                break
        if selected_font_path:
            pdfmetrics.registerFont(TTFont("NotoEmoji-Bold", selected_font_path))
        pdfmetrics.registerFont(TTFont("DejaVuSans", "DejaVuSans.ttf"))
    except Exception as e:
        st.error(f"Font registration error: {e}")
        return
    columns = [[] for _ in range(num_columns)]
    lines_per_column = total_lines / num_columns if num_columns > 0 else total_lines
    current_line_count = 0
    current_column = 0
    number_pattern = re.compile(r'^\d+\.\s')
    for item in pdf_content:
        if current_line_count >= lines_per_column and current_column < num_columns - 1:
            current_column += 1
            current_line_count = 0
        columns[current_column].append(item)
        current_line_count += 1
    column_cells = [[] for _ in range(num_columns)]
    for col_idx, column in enumerate(columns):
        for item in column:
            if isinstance(item, str) and item.startswith("<b>") and item.endswith("</b>"):
                content = item[3:-4].strip()
                if number_pattern.match(content):
                    column_cells[col_idx].append(Paragraph(apply_emoji_font(content, "NotoEmoji-Bold"), numbered_bold_style))
                else:
                    column_cells[col_idx].append(Paragraph(apply_emoji_font(content, "NotoEmoji-Bold"), section_style))
            else:
                column_cells[col_idx].append(Paragraph(apply_emoji_font(item, "DejaVuSans"), item_style))
    max_cells = max(len(cells) for cells in column_cells) if column_cells else 0
    for cells in column_cells:
        cells.extend([Paragraph("", item_style)] * (max_cells - len(cells)))
    col_width = (page_width - 72) / num_columns if num_columns > 0 else page_width - 72
    table_data = list(zip(*column_cells)) if column_cells else [[]]
    table = Table(table_data, colWidths=[col_width] * num_columns, hAlign='CENTER')
    table.setStyle(TableStyle([
        ('VALIGN', (0, 0), (-1, -1), 'TOP'),
        ('ALIGN', (0, 0), (-1, -1), 'LEFT'),
        ('BACKGROUND', (0, 0), (-1, -1), colors.white),
        ('GRID', (0, 0), (-1, -1), 0, colors.white),
        ('LINEAFTER', (0, 0), (num_columns-1, -1), 0.5, colors.grey),
        ('LEFTPADDING', (0, 0), (-1, -1), 2),
        ('RIGHTPADDING', (0, 0), (-1, -1), 2),
        ('TOPPADDING', (0, 0), (-1, -1), 1),
        ('BOTTOMPADDING', (0, 0), (-1, -1), 1),
    ]))
    story = [Spacer(1, spacer_height), table]
    doc.build(story)
    buffer.seek(0)
    return buffer.getvalue()

def pdf_to_image(pdf_bytes):
    try:
        doc = fitz.open(stream=pdf_bytes, filetype="pdf")
        images = []
        for page in doc:
            pix = page.get_pixmap(matrix=fitz.Matrix(2.0, 2.0))
            img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
            images.append(img)
        doc.close()
        return images
    except Exception as e:
        st.error(f"Failed to render PDF preview: {e}")
        return None

md_files = [f for f in glob.glob("*.md") if os.path.basename(f) != "README.md"]
md_options = [os.path.splitext(os.path.basename(f))[0] for f in md_files]

with st.sidebar:
    st.markdown("### PDF Options")
    selected_md = st.selectbox("Select Markdown File", options=md_options, index=0 if md_options else -1)
    available_font_files = {os.path.splitext(os.path.basename(f))[0]: f for f in glob.glob("*.ttf")}
    selected_font_name = st.selectbox("Select Emoji Font", options=list(available_font_files.keys()), index=list(available_font_files.keys()).index("NotoEmoji-Bold") if "NotoEmoji-Bold" in available_font_files else 0)
    base_font_size = st.slider("Font Size (points)", min_value=6, max_value=16, value=8, step=1)
    render_with_bold = st.checkbox("Render with Bold Formatting (remove ** markers)", value=True, key="render_with_bold")
    auto_bold_numbers = st.checkbox("Auto Bold Numbered Lines", value=True, key="auto_bold_numbers")
    enlarge_numbered = st.checkbox("Enlarge Font Size for Numbered Lines", value=True, key="enlarge_numbered")
    num_columns = st.selectbox("Number of Columns", options=[1, 2, 3, 4, 5, 6], index=3)
    if 'markdown_content' not in st.session_state or not md_options:
        st.session_state.markdown_content = ""
    if md_options and selected_md:
        with open(f"{selected_md}.md", "r", encoding="utf-8") as f:
            st.session_state.markdown_content = f.read()
    edited_markdown = st.text_area("Modify the markdown content below:", value=st.session_state.markdown_content, height=300, key=f"markdown_{selected_md}_{selected_font_name}_{num_columns}")
    if st.button("Update PDF"):
        st.session_state.markdown_content = edited_markdown
        with open(f"{selected_md}.md", "w", encoding="utf-8") as f:
            f.write(edited_markdown)
        st.experimental_rerun()
    st.download_button(label="Save Markdown", data=st.session_state.markdown_content, file_name=f"{selected_md}.md", mime="text/markdown")
    st.markdown("### Text-to-Speech")
    VOICES = ["en-US-AriaNeural", "en-US-JennyNeural", "en-GB-SoniaNeural", "en-US-GuyNeural", "en-US-AnaNeural"]
    selected_voice = st.selectbox("Select Voice for TTS", options=VOICES, index=0)
    if st.button("Generate Audio"):
        audio_file = asyncio.run(generate_audio(st.session_state.markdown_content, selected_voice))
        st.audio(audio_file)
        with open(audio_file, "rb") as f:
            audio_bytes = f.read()
        st.download_button("Download Audio", data=audio_bytes, file_name=os.path.basename(audio_file), mime="audio/mpeg")

if not md_options:
    st.warning("No .md files found in the directory (excluding README.md). Using default content.")
    default_markdown = """# Default Markdown Content
This is a sample **bold text** example.
1. **Introduction**
2. **Core Concepts**
3. **Summary**"""
    st.session_state.markdown_content = default_markdown

with st.spinner("Generating PDF..."):
    pdf_bytes = create_pdf(st.session_state.markdown_content, base_font_size, render_with_bold, auto_bold_numbers, enlarge_numbered, num_columns)

with st.container():
    pdf_images = pdf_to_image(pdf_bytes)
    if pdf_images:
        for img in pdf_images:
            st.image(img, use_container_width=True)
    else:
        st.info("Download the PDF to view it locally.")

with st.sidebar:
    st.download_button(label="Download PDF", data=pdf_bytes, file_name="output.pdf", mime="application/pdf")