Delete backup8.app.py
Browse files- backup8.app.py +0 -412
backup8.app.py
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import io
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import re
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import os
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import glob
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import asyncio
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import hashlib
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import unicodedata
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import streamlit as st
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from PIL import Image
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import fitz
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import edge_tts
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from reportlab.lib.pagesizes import A4
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from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle
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from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
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from reportlab.lib import colors
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from reportlab.pdfbase import pdfmetrics
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from reportlab.pdfbase.ttfonts import TTFont
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from datetime import datetime
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import pytz
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st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
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def get_timestamp_prefix():
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central = pytz.timezone("US/Central")
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now = datetime.now(central)
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return now.strftime("%a %m%d %I%M%p").upper()
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def clean_for_speech(text):
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text = text.replace("#", "")
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emoji_pattern = re.compile(
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r"[\U0001F300-\U0001F5FF"
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r"\U0001F600-\U0001F64F"
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r"\U0001F680-\U0001F6FF"
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r"\U0001F700-\U0001F77F"
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r"\U0001F780-\U0001F7FF"
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r"\U0001F800-\U0001F8FF"
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r"\U0001F900-\U0001F9FF"
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r"\U0001FA00-\U0001FA6F"
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r"\U0001FA70-\U0001FAFF"
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r"\u2600-\u26FF"
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r"\u2700-\u27BF]+", flags=re.UNICODE)
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text = emoji_pattern.sub('', text)
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return text
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def trim_emojis_except_numbered(markdown_text):
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emoji_pattern = re.compile(
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r"[\U0001F300-\U0001F5FF"
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r"\U0001F600-\U0001F64F"
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r"\U0001F680-\U0001F6FF"
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r"\U0001F700-\U0001F77F"
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r"\U0001F780-\U0001F7FF"
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r"\U0001F800-\U0001F8FF"
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r"\U0001F900-\U0001F9FF"
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r"\U0001FAD0-\U0001FAD9"
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r"\U0001FA00-\U0001FA6F"
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r"\U0001FA70-\U0001FAFF"
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r"\u2600-\u26FF"
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r"\u2700-\u27BF]+"
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)
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number_pattern = re.compile(r'^\d+\.\s')
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lines = markdown_text.strip().split('\n')
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processed_lines = []
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for line in lines:
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if number_pattern.match(line):
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# Keep emojis in numbered lines
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processed_lines.append(line)
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else:
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# Remove emojis from other lines
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processed_lines.append(emoji_pattern.sub('', line))
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return '\n'.join(processed_lines)
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async def generate_audio(text, voice, filename):
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communicate = edge_tts.Communicate(text, voice)
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await communicate.save(filename)
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return filename
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def detect_and_convert_links(text):
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url_pattern = re.compile(
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r'(https?://|www\.)[^\s\[\]()<>{}]+(\.[^\s\[\]()<>{}]+)+(/[^\s\[\]()<>{}]*)?',
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re.IGNORECASE
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)
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md_link_pattern = re.compile(r'\[(.*?)\]\((https?://[^\s\[\]()<>{}]+)\)')
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text = md_link_pattern.sub(r'<a href="\2">\1</a>', text)
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start_idx = 0
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result = []
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while start_idx < len(text):
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match = url_pattern.search(text, start_idx)
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if not match:
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result.append(text[start_idx:])
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break
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prev_text = text[start_idx:match.start()]
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tag_balance = prev_text.count('<a') - prev_text.count('</a')
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if tag_balance > 0:
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result.append(text[start_idx:match.end()])
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else:
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result.append(text[start_idx:match.start()])
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url = match.group(0)
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if url.startswith('www.'):
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url_with_prefix = 'http://' + url
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else:
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url_with_prefix = url
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result.append(f'<a href="{url_with_prefix}">{url}</a>')
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start_idx = match.end()
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return ''.join(result)
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def apply_emoji_font(text, emoji_font):
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link_pattern = re.compile(r'<a\s+href="([^"]+)">(.*?)</a>')
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links = []
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def save_link(match):
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link_idx = len(links)
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links.append((match.group(1), match.group(2)))
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return f"###LINK_{link_idx}###"
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text = link_pattern.sub(save_link, text)
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text = re.sub(r'<b>(.*?)</b>', lambda m: f'###BOLD_START###{m.group(1)}###BOLD_END###', text)
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emoji_pattern = re.compile(
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r"([\U0001F300-\U0001F5FF"
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r"\U0001F600-\U0001F64F"
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r"\U0001F680-\U0001F6FF"
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r"\U0001F700-\U0001F77F"
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r"\U0001F780-\U0001F7FF"
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r"\U0001F800-\U0001F8FF"
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r"\U0001F900-\U0001F9FF"
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r"\U0001FAD0-\U0001FAD9"
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r"\U0001FA00-\U0001FA6F"
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r"\U0001FA70-\U0001FAFF"
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r"\u2600-\u26FF"
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r"\u2700-\u27BF]+)"
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)
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def replace_emoji(match):
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emoji = match.group(1)
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emoji = unicodedata.normalize('NFC', emoji)
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return f'<font face="{emoji_font}">{emoji}</font>'
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segments = []
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last_pos = 0
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for match in emoji_pattern.finditer(text):
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start, end = match.span()
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if last_pos < start:
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segments.append(f'<font face="DejaVuSans">{text[last_pos:start]}</font>')
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segments.append(replace_emoji(match))
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last_pos = end
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if last_pos < len(text):
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segments.append(f'<font face="DejaVuSans">{text[last_pos:]}</font>')
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combined_text = ''.join(segments)
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combined_text = combined_text.replace('###BOLD_START###', '</font><b><font face="DejaVuSans">')
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combined_text = combined_text.replace('###BOLD_END###', '</font></b><font face="DejaVuSans">')
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for i, (url, label) in enumerate(links):
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placeholder = f"###LINK_{i}###"
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if placeholder in combined_text:
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parts = combined_text.split(placeholder)
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if len(parts) == 2:
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before, after = parts
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if before.rfind('<font') > before.rfind('</font>'):
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link_html = f'</font><a href="{url}">{label}</a><font face="DejaVuSans">'
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combined_text = before + link_html + after
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else:
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combined_text = before + f'<a href="{url}">{label}</a>' + after
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return combined_text
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def markdown_to_pdf_content(markdown_text, render_with_bold, auto_bold_numbers):
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lines = markdown_text.strip().split('\n')
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pdf_content = []
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number_pattern = re.compile(r'^\d+\.\s')
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for line in lines:
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line = line.strip()
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if not line or line.startswith('# '):
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continue
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line = detect_and_convert_links(line)
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if render_with_bold:
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line = re.sub(r'\*\*(.*?)\*\*', r'<b>\1</b>', line)
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if auto_bold_numbers and number_pattern.match(line):
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if not (line.startswith("<b>") and line.endswith("</b>")):
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if "<b>" in line and "</b>" in line:
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line = re.sub(r'</?b>', '', line)
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line = f"<b>{line}</b>"
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else:
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line = f"<b>{line}</b>"
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pdf_content.append(line)
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total_lines = len(pdf_content)
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return pdf_content, total_lines
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def create_pdf(markdown_text, base_font_size, render_with_bold, auto_bold_numbers, enlarge_numbered, num_columns):
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buffer = io.BytesIO()
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page_width = A4[0] * 2
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page_height = A4[1]
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doc = SimpleDocTemplate(buffer, pagesize=(page_width, page_height), leftMargin=36, rightMargin=36, topMargin=36, bottomMargin=36)
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styles = getSampleStyleSheet()
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spacer_height = 10
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pdf_content, total_lines = markdown_to_pdf_content(markdown_text, render_with_bold, auto_bold_numbers)
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try:
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available_font_files = glob.glob("*.ttf")
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if not available_font_files:
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st.error("No .ttf font files found.")
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return
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selected_font_path = next((f for f in available_font_files if "NotoEmoji-Bold" in f), None)
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if selected_font_path:
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pdfmetrics.registerFont(TTFont("NotoEmoji-Bold", selected_font_path))
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pdfmetrics.registerFont(TTFont("DejaVuSans", "DejaVuSans.ttf"))
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except Exception as e:
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st.error(f"Font registration error: {e}")
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return
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total_chars = sum(len(line) for line in pdf_content)
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hierarchy_weight = sum(1.5 if line.startswith("<b>") else 1 for line in pdf_content)
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content_density = total_lines * hierarchy_weight + total_chars / 50
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usable_height = page_height - 72 - spacer_height
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usable_width = page_width - 72
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avg_line_chars = total_chars / total_lines if total_lines > 0 else 50
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ideal_lines_per_col = 20
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suggested_columns = max(1, min(6, int(total_lines / ideal_lines_per_col) + 1))
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num_columns = num_columns if num_columns != 0 else suggested_columns
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col_width = usable_width / num_columns
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min_font_size = 6
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max_font_size = 16
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lines_per_col = total_lines / num_columns if num_columns > 0 else total_lines
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target_height_per_line = usable_height / lines_per_col if lines_per_col > 0 else usable_height
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estimated_font_size = int(target_height_per_line / 1.5)
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adjusted_font_size = max(min_font_size, min(max_font_size, estimated_font_size))
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if avg_line_chars > col_width / adjusted_font_size * 10:
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adjusted_font_size = int(col_width / (avg_line_chars / 10))
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adjusted_font_size = max(min_font_size, adjusted_font_size)
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item_style = ParagraphStyle(
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'ItemStyle', parent=styles['Normal'], fontName="DejaVuSans",
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fontSize=adjusted_font_size, leading=adjusted_font_size * 1.15, spaceAfter=1,
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linkUnderline=True
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)
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numbered_bold_style = ParagraphStyle(
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'NumberedBoldStyle', parent=styles['Normal'], fontName="NotoEmoji-Bold",
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fontSize=adjusted_font_size + 1 if enlarge_numbered else adjusted_font_size,
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leading=(adjusted_font_size + 1) * 1.15 if enlarge_numbered else adjusted_font_size * 1.15, spaceAfter=1,
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linkUnderline=True
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)
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section_style = ParagraphStyle(
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'SectionStyle', parent=styles['Heading2'], fontName="DejaVuSans",
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textColor=colors.darkblue, fontSize=adjusted_font_size * 1.1, leading=adjusted_font_size * 1.32, spaceAfter=2,
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linkUnderline=True
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)
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columns = [[] for _ in range(num_columns)]
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lines_per_column = total_lines / num_columns if num_columns > 0 else total_lines
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current_line_count = 0
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current_column = 0
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number_pattern = re.compile(r'^\d+\.\s')
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for item in pdf_content:
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if current_line_count >= lines_per_column and current_column < num_columns - 1:
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current_column += 1
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current_line_count = 0
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columns[current_column].append(item)
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current_line_count += 1
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column_cells = [[] for _ in range(num_columns)]
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for col_idx, column in enumerate(columns):
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for item in column:
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if isinstance(item, str) and item.startswith("<b>") and item.endswith("</b>"):
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content = item[3:-4].strip()
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if number_pattern.match(content):
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column_cells[col_idx].append(Paragraph(apply_emoji_font(content, "NotoEmoji-Bold"), numbered_bold_style))
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else:
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column_cells[col_idx].append(Paragraph(apply_emoji_font(content, "NotoEmoji-Bold"), section_style))
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else:
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column_cells[col_idx].append(Paragraph(apply_emoji_font(item, "DejaVuSans"), item_style))
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max_cells = max(len(cells) for cells in column_cells) if column_cells else 0
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for cells in column_cells:
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cells.extend([Paragraph("", item_style)] * (max_cells - len(cells)))
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table_data = list(zip(*column_cells)) if column_cells else [[]]
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table = Table(table_data, colWidths=[col_width] * num_columns, hAlign='CENTER')
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table.setStyle(TableStyle([
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('VALIGN', (0, 0), (-1, -1), 'TOP'),
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('ALIGN', (0, 0), (-1, -1), 'LEFT'),
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('BACKGROUND', (0, 0), (-1, -1), colors.white),
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('GRID', (0, 0), (-1, -1), 0, colors.white),
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('LINEAFTER', (0, 0), (num_columns-1, -1), 0.5, colors.grey),
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('LEFTPADDING', (0, 0), (-1, -1), 2),
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('RIGHTPADDING', (0, 0), (-1, -1), 2),
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('TOPPADDING', (0, 0), (-1, -1), 1),
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('BOTTOMPADDING', (0, 0), (-1, -1), 1),
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]))
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story = [Spacer(1, spacer_height), table]
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doc.build(story)
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buffer.seek(0)
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return buffer.getvalue()
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def pdf_to_image(pdf_bytes):
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try:
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doc = fitz.open(stream=pdf_bytes, filetype="pdf")
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images = []
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for page in doc:
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pix = page.get_pixmap(matrix=fitz.Matrix(2.0, 2.0))
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img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
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images.append(img)
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doc.close()
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return images
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except Exception as e:
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st.error(f"Failed to render PDF preview: {e}")
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return None
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294 |
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md_files = [f for f in glob.glob("*.md") if os.path.basename(f) != "README.md"]
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md_options = [os.path.splitext(os.path.basename(f))[0] for f in md_files]
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with st.sidebar:
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st.markdown("### PDF Options")
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if md_options:
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selected_md = st.selectbox("Select Markdown File", options=md_options, index=0)
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with open(f"{selected_md}.md", "r", encoding="utf-8") as f:
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st.session_state.markdown_content = f.read()
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else:
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st.warning("No markdown file found. Please add one to your folder.")
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selected_md = None
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st.session_state.markdown_content = ""
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available_font_files = {os.path.splitext(os.path.basename(f))[0]: f for f in glob.glob("*.ttf")}
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selected_font_name = st.selectbox("Select Emoji Font", options=list(available_font_files.keys()),
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index=list(available_font_files.keys()).index("NotoEmoji-Bold") if "NotoEmoji-Bold" in available_font_files else 0)
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base_font_size = st.slider("Font Size (points)", min_value=6, max_value=16, value=8, step=1)
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render_with_bold = st.checkbox("Render with Bold Formatting (remove ** markers)", value=True, key="render_with_bold")
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auto_bold_numbers = st.checkbox("Auto Bold Numbered Lines", value=True, key="auto_bold_numbers")
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enlarge_numbered = st.checkbox("Enlarge Font Size for Numbered Lines", value=True, key="enlarge_numbered")
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# Add AutoColumns option to automatically determine column count based on line length
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auto_columns = st.checkbox("AutoColumns", value=False, key="auto_columns")
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# Auto-determine column count based on longest line if AutoColumns is checked
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if auto_columns and 'markdown_content' in st.session_state:
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current_markdown = st.session_state.markdown_content
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lines = current_markdown.strip().split('\n')
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longest_line_words = 0
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for line in lines:
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if line.strip(): # Skip empty lines
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word_count = len(line.split())
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longest_line_words = max(longest_line_words, word_count)
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327 |
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# Set recommended columns based on word count
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if longest_line_words > 25:
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330 |
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recommended_columns = 1 # Very long lines need a single column
|
331 |
-
elif longest_line_words >= 18:
|
332 |
-
recommended_columns = 2 # Long lines need 2 columns
|
333 |
-
elif longest_line_words >= 11:
|
334 |
-
recommended_columns = 3 # Medium lines can use 3 columns
|
335 |
-
else:
|
336 |
-
recommended_columns = "Auto" # Default to auto for shorter lines
|
337 |
-
|
338 |
-
st.info(f"Longest line has {longest_line_words} words. Recommending {recommended_columns} columns.")
|
339 |
-
else:
|
340 |
-
recommended_columns = "Auto"
|
341 |
-
|
342 |
-
column_options = ["Auto"] + list(range(1, 7))
|
343 |
-
num_columns = st.selectbox("Number of Columns", options=column_options,
|
344 |
-
index=0 if recommended_columns == "Auto" else column_options.index(recommended_columns))
|
345 |
-
num_columns = 0 if num_columns == "Auto" else int(num_columns)
|
346 |
-
st.info("Font size and columns adjust to fit one page.")
|
347 |
-
|
348 |
-
# Changed label from "Modify the markdown content below:" to "Input Markdown"
|
349 |
-
edited_markdown = st.text_area("Input Markdown", value=st.session_state.markdown_content, height=300, key=f"markdown_{selected_md}_{selected_font_name}_{num_columns}")
|
350 |
-
|
351 |
-
# Added emoji to "Update PDF" button and created a two-column layout for buttons
|
352 |
-
col1, col2 = st.columns(2)
|
353 |
-
with col1:
|
354 |
-
if st.button("🔄📄 Update PDF"):
|
355 |
-
st.session_state.markdown_content = edited_markdown
|
356 |
-
if selected_md:
|
357 |
-
with open(f"{selected_md}.md", "w", encoding="utf-8") as f:
|
358 |
-
f.write(edited_markdown)
|
359 |
-
st.rerun()
|
360 |
-
|
361 |
-
# Added "Trim Emojis" button in second column
|
362 |
-
with col2:
|
363 |
-
if st.button("✂️ Trim Emojis"):
|
364 |
-
trimmed_content = trim_emojis_except_numbered(edited_markdown)
|
365 |
-
st.session_state.markdown_content = trimmed_content
|
366 |
-
if selected_md:
|
367 |
-
with open(f"{selected_md}.md", "w", encoding="utf-8") as f:
|
368 |
-
f.write(trimmed_content)
|
369 |
-
st.rerun()
|
370 |
-
|
371 |
-
prefix = get_timestamp_prefix()
|
372 |
-
st.download_button(
|
373 |
-
label="💾📝 Save Markdown",
|
374 |
-
data=st.session_state.markdown_content,
|
375 |
-
file_name=f"{prefix} {selected_md}.md" if selected_md else f"{prefix} default.md",
|
376 |
-
mime="text/markdown"
|
377 |
-
)
|
378 |
-
st.markdown("### Text-to-Speech")
|
379 |
-
VOICES = ["en-US-AriaNeural", "en-US-JennyNeural", "en-GB-SoniaNeural", "en-US-GuyNeural", "en-US-AnaNeural"]
|
380 |
-
selected_voice = st.selectbox("Select Voice for TTS", options=VOICES, index=0)
|
381 |
-
if st.button("Generate Audio"):
|
382 |
-
cleaned_text = clean_for_speech(st.session_state.markdown_content)
|
383 |
-
audio_filename = f"{prefix} {selected_md} {selected_voice}.mp3" if selected_md else f"{prefix} default {selected_voice}.mp3"
|
384 |
-
audio_file = asyncio.run(generate_audio(cleaned_text, selected_voice, audio_filename))
|
385 |
-
st.audio(audio_file)
|
386 |
-
with open(audio_file, "rb") as f:
|
387 |
-
audio_bytes = f.read()
|
388 |
-
st.download_button(
|
389 |
-
label="💾🔊 Save Audio",
|
390 |
-
data=audio_bytes,
|
391 |
-
file_name=audio_filename,
|
392 |
-
mime="audio/mpeg"
|
393 |
-
)
|
394 |
-
|
395 |
-
with st.spinner("Generating PDF..."):
|
396 |
-
pdf_bytes = create_pdf(st.session_state.markdown_content, base_font_size, render_with_bold, auto_bold_numbers, enlarge_numbered, num_columns)
|
397 |
-
|
398 |
-
with st.container():
|
399 |
-
pdf_images = pdf_to_image(pdf_bytes)
|
400 |
-
if pdf_images:
|
401 |
-
for img in pdf_images:
|
402 |
-
st.image(img, use_container_width=True)
|
403 |
-
else:
|
404 |
-
st.info("Download the PDF to view it locally.")
|
405 |
-
|
406 |
-
with st.sidebar:
|
407 |
-
st.download_button(
|
408 |
-
label="💾📄 Save PDF",
|
409 |
-
data=pdf_bytes,
|
410 |
-
file_name=f"{prefix} {selected_md}.pdf" if selected_md else f"{prefix} output.pdf",
|
411 |
-
mime="application/pdf"
|
412 |
-
)
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