Update app.py
Browse files
app.py
CHANGED
@@ -20,20 +20,13 @@ import pytz
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st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
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# π Time flies when you're having function calls
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def get_timestamp_prefix():
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"""π°οΈ Gets a timestamp that's more reliable than your coworker's ETA estimates"""
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central = pytz.timezone("US/Central")
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now = datetime.now(central)
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# Format: three-letter day, MMDD, HHMM + AM/PM (all uppercase)
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return now.strftime("%a %m%d %I%M%p").upper()
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# π§Ή Because text needs a bath before being spoken
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def clean_for_speech(text):
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"""π§Ό Scrubs your text cleaner than your bathroom will ever be"""
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# Remove hash marks
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text = text.replace("#", "")
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# Remove emojis using a regex pattern that covers a wide range
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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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@@ -49,86 +42,49 @@ def clean_for_speech(text):
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text = emoji_pattern.sub('', text)
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return text
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# π€ Making robots talk so you don't have to
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async def generate_audio(text, voice, filename):
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"""π Turn text into speech, because reading is so last century"""
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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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# π Detecting links like a digital bloodhound
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def detect_and_convert_links(text):
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"""πΈοΈ Finds URLs in your text and turns them into actual clickable links"""
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# Pattern to find URLs (http/https/ftp/www)
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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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-
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# Pattern to find markdown links [text](url)
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md_link_pattern = re.compile(r'\[(.*?)\]\((https?://[^\s\[\]()<>{}]+)\)')
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# First convert markdown links
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text = md_link_pattern.sub(r'<a href="\2">\1</a>', text)
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# Then find and convert plain URLs not already in tags
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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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# Find the next URL
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match = url_pattern.search(text, start_idx)
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if not match:
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# No more URLs, add the remaining text
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result.append(text[start_idx:])
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break
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# Check if the URL is already inside an <a> tag
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# This is a simplified check. A more robust approach might use an HTML parser
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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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# URL is likely inside a tag, skip this match
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result.append(text[start_idx:match.end()])
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else:
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# Add text before the URL
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result.append(text[start_idx:match.start()])
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# Get the URL
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url = match.group(0)
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# Add proper URL prefix if needed
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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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# Add the URL as a link
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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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# π Making emojis wear the right font costume
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def apply_emoji_font(text, emoji_font):
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"""π¦ Because emojis deserve their own font fashion show"""
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# First handle links - temporarily replace them with placeholders
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link_pattern = re.compile(r'<a\s+href="([^"]+)">(.*?)</a>')
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links = []
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-
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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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-
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text = link_pattern.sub(save_link, text)
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-
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# Now handle bold formatting
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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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-
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# Apply emoji font replacement
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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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@@ -137,95 +93,65 @@ def apply_emoji_font(text, emoji_font):
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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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-
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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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-
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combined_text = ''.join(segments)
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# Restore bold tags
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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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-
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# Restore links
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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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# If the link is within a font tag, we need to close and reopen it
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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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# Check if we're inside a font tag
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if before.rfind('<font') > before.rfind('</font>'):
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# Close font tag before link, reopen after
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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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# Simple replacement
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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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# π Converting markdown to PDF content, because PDFs never go out of style
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def markdown_to_pdf_content(markdown_text, render_with_bold, auto_bold_numbers):
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"""π Transforms your disorganized thoughts into structured PDF content"""
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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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# Process links before any other formatting
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line = detect_and_convert_links(line)
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# Handle bold formatting
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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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# Only apply bold if not already entirely bold
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if not (line.startswith("<b>") and line.endswith("</b>")):
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# If there's already some bold formatting inside, we need to handle carefully
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if "<b>" in line and "</b>" in line:
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# Complex case - for simplicity, just make the whole line bold
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# but remove any existing bold tags first
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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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# ποΈ Building PDFs like it's your second job
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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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"""π¨ Constructs a PDF with the precision of a sleep-deprived architect"""
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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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@@ -233,58 +159,64 @@ def create_pdf(markdown_text, base_font_size, render_with_bold, auto_bold_number
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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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# Define styles for different text types
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item_style = ParagraphStyle(
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'ItemStyle', parent=styles['Normal'], fontName="DejaVuSans",
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fontSize=base_font_size, leading=base_font_size * 1.15, spaceAfter=1,
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linkUnderline=True # Enable underline for links
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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=base_font_size + 1 if enlarge_numbered else base_font_size,
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leading=(base_font_size + 1) * 1.15 if enlarge_numbered else base_font_size * 1.15, spaceAfter=1,
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linkUnderline=True # Enable underline for links
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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=base_font_size * 1.1, leading=base_font_size * 1.32, spaceAfter=2,
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linkUnderline=True # Enable underline for links
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)
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# Register fonts
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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 = None
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for f in available_font_files:
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if "NotoEmoji-Bold" in f:
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selected_font_path = f
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break
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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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-
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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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-
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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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-
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# Format columns into Paragraph objects
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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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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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-
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# Ensure columns have the same number of cells
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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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-
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# Create the table layout
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col_width = (page_width - 72) / num_columns if num_columns > 0 else page_width - 72
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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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('TOPPADDING', (0, 0), (-1, -1), 1),
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('BOTTOMPADDING', (0, 0), (-1, -1), 1),
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]))
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-
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# Build the PDF
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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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# πΌοΈ Converting PDFs to images, because we can't leave well enough alone
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def pdf_to_image(pdf_bytes):
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"""π Turns your PDF into pictures because some people just want to see the world rendered"""
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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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st.error(f"Failed to render PDF preview: {e}")
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return None
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# -- Markdown File Selection --
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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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# πͺ The main Streamlit show begins here
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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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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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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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-
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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}")
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if st.button("Update PDF"):
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st.session_state.markdown_content = edited_markdown
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with open(f"{selected_md}.md", "w", encoding="utf-8") as f:
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f.write(edited_markdown)
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st.rerun()
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-
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# Create a timestamp prefix for file naming
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prefix = get_timestamp_prefix()
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# Download button for Markdown with new naming convention and double emoji label
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st.download_button(
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label="πΎπ Save Markdown",
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data=st.session_state.markdown_content,
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file_name=f"{prefix} {selected_md}.md" if selected_md else f"{prefix} default.md",
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mime="text/markdown"
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)
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-
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st.markdown("### Text-to-Speech")
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VOICES = ["en-US-AriaNeural", "en-US-JennyNeural", "en-GB-SoniaNeural", "en-US-GuyNeural", "en-US-AnaNeural"]
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selected_voice = st.selectbox("Select Voice for TTS", options=VOICES, index=0)
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if st.button("Generate Audio"):
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# Clean markdown input for speech generation
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cleaned_text = clean_for_speech(st.session_state.markdown_content)
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# Create a filename for the audio file using the timestamp, markdown name, and selected voice
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audio_filename = f"{prefix} {selected_md} {selected_voice}.mp3" if selected_md else f"{prefix} default {selected_voice}.mp3"
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audio_file = asyncio.run(generate_audio(cleaned_text, selected_voice, audio_filename))
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st.audio(audio_file)
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@@ -404,11 +318,9 @@ with st.sidebar:
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mime="audio/mpeg"
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)
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# π Generating the PDF with more complexity than a rocket launch
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with st.spinner("Generating PDF..."):
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pdf_bytes = create_pdf(st.session_state.markdown_content, base_font_size, render_with_bold, auto_bold_numbers, enlarge_numbered, num_columns)
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# πΊ Displaying the preview, because everyone loves to window shop
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with st.container():
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pdf_images = pdf_to_image(pdf_bytes)
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if pdf_images:
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@@ -417,7 +329,6 @@ with st.container():
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else:
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st.info("Download the PDF to view it locally.")
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# πΎ Last chance to save your masterpiece before it's gone forever
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with st.sidebar:
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st.download_button(
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label="πΎπ Save PDF",
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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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27 |
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|
|
28 |
def clean_for_speech(text):
|
|
|
|
|
29 |
text = text.replace("#", "")
|
|
|
30 |
emoji_pattern = re.compile(
|
31 |
r"[\U0001F300-\U0001F5FF"
|
32 |
r"\U0001F600-\U0001F64F"
|
|
|
42 |
text = emoji_pattern.sub('', text)
|
43 |
return text
|
44 |
|
|
|
45 |
async def generate_audio(text, voice, filename):
|
|
|
46 |
communicate = edge_tts.Communicate(text, voice)
|
47 |
await communicate.save(filename)
|
48 |
return filename
|
49 |
|
|
|
50 |
def detect_and_convert_links(text):
|
|
|
|
|
51 |
url_pattern = re.compile(
|
52 |
r'(https?://|www\.)[^\s\[\]()<>{}]+(\.[^\s\[\]()<>{}]+)+(/[^\s\[\]()<>{}]*)?',
|
53 |
re.IGNORECASE
|
54 |
)
|
|
|
|
|
55 |
md_link_pattern = re.compile(r'\[(.*?)\]\((https?://[^\s\[\]()<>{}]+)\)')
|
|
|
|
|
56 |
text = md_link_pattern.sub(r'<a href="\2">\1</a>', text)
|
|
|
|
|
57 |
start_idx = 0
|
58 |
result = []
|
|
|
59 |
while start_idx < len(text):
|
|
|
60 |
match = url_pattern.search(text, start_idx)
|
61 |
if not match:
|
|
|
62 |
result.append(text[start_idx:])
|
63 |
break
|
|
|
|
|
|
|
64 |
prev_text = text[start_idx:match.start()]
|
65 |
tag_balance = prev_text.count('<a') - prev_text.count('</a')
|
|
|
66 |
if tag_balance > 0:
|
|
|
67 |
result.append(text[start_idx:match.end()])
|
68 |
else:
|
|
|
69 |
result.append(text[start_idx:match.start()])
|
|
|
|
|
70 |
url = match.group(0)
|
|
|
|
|
71 |
if url.startswith('www.'):
|
72 |
url_with_prefix = 'http://' + url
|
73 |
else:
|
74 |
url_with_prefix = url
|
|
|
|
|
75 |
result.append(f'<a href="{url_with_prefix}">{url}</a>')
|
|
|
76 |
start_idx = match.end()
|
|
|
77 |
return ''.join(result)
|
78 |
|
|
|
79 |
def apply_emoji_font(text, emoji_font):
|
|
|
|
|
80 |
link_pattern = re.compile(r'<a\s+href="([^"]+)">(.*?)</a>')
|
81 |
links = []
|
|
|
82 |
def save_link(match):
|
83 |
link_idx = len(links)
|
84 |
links.append((match.group(1), match.group(2)))
|
85 |
return f"###LINK_{link_idx}###"
|
|
|
86 |
text = link_pattern.sub(save_link, text)
|
|
|
|
|
87 |
text = re.sub(r'<b>(.*?)</b>', lambda m: f'###BOLD_START###{m.group(1)}###BOLD_END###', text)
|
|
|
|
|
88 |
emoji_pattern = re.compile(
|
89 |
r"([\U0001F300-\U0001F5FF"
|
90 |
r"\U0001F600-\U0001F64F"
|
|
|
93 |
r"\U0001F780-\U0001F7FF"
|
94 |
r"\U0001F800-\U0001F8FF"
|
95 |
r"\U0001F900-\U0001F9FF"
|
96 |
+
r"\U0001FAD0-\U0001FAD9"
|
97 |
r"\U0001FA00-\U0001FA6F"
|
98 |
r"\U0001FA70-\U0001FAFF"
|
99 |
r"\u2600-\u26FF"
|
100 |
r"\u2700-\u27BF]+)"
|
101 |
)
|
|
|
102 |
def replace_emoji(match):
|
103 |
emoji = match.group(1)
|
104 |
emoji = unicodedata.normalize('NFC', emoji)
|
105 |
return f'<font face="{emoji_font}">{emoji}</font>'
|
|
|
106 |
segments = []
|
107 |
last_pos = 0
|
|
|
108 |
for match in emoji_pattern.finditer(text):
|
109 |
start, end = match.span()
|
110 |
if last_pos < start:
|
111 |
segments.append(f'<font face="DejaVuSans">{text[last_pos:start]}</font>')
|
112 |
segments.append(replace_emoji(match))
|
113 |
last_pos = end
|
|
|
114 |
if last_pos < len(text):
|
115 |
segments.append(f'<font face="DejaVuSans">{text[last_pos:]}</font>')
|
|
|
116 |
combined_text = ''.join(segments)
|
|
|
|
|
117 |
combined_text = combined_text.replace('###BOLD_START###', '</font><b><font face="DejaVuSans">')
|
118 |
combined_text = combined_text.replace('###BOLD_END###', '</font></b><font face="DejaVuSans">')
|
|
|
|
|
119 |
for i, (url, label) in enumerate(links):
|
120 |
placeholder = f"###LINK_{i}###"
|
121 |
if placeholder in combined_text:
|
|
|
122 |
parts = combined_text.split(placeholder)
|
123 |
if len(parts) == 2:
|
124 |
before, after = parts
|
|
|
125 |
if before.rfind('<font') > before.rfind('</font>'):
|
|
|
126 |
link_html = f'</font><a href="{url}">{label}</a><font face="DejaVuSans">'
|
127 |
combined_text = before + link_html + after
|
128 |
else:
|
|
|
129 |
combined_text = before + f'<a href="{url}">{label}</a>' + after
|
|
|
130 |
return combined_text
|
131 |
|
|
|
132 |
def markdown_to_pdf_content(markdown_text, render_with_bold, auto_bold_numbers):
|
|
|
133 |
lines = markdown_text.strip().split('\n')
|
134 |
pdf_content = []
|
135 |
number_pattern = re.compile(r'^\d+\.\s')
|
|
|
136 |
for line in lines:
|
137 |
line = line.strip()
|
138 |
if not line or line.startswith('# '):
|
139 |
continue
|
|
|
|
|
140 |
line = detect_and_convert_links(line)
|
|
|
|
|
141 |
if render_with_bold:
|
142 |
line = re.sub(r'\*\*(.*?)\*\*', r'<b>\1</b>', line)
|
|
|
143 |
if auto_bold_numbers and number_pattern.match(line):
|
|
|
144 |
if not (line.startswith("<b>") and line.endswith("</b>")):
|
|
|
145 |
if "<b>" in line and "</b>" in line:
|
|
|
|
|
146 |
line = re.sub(r'</?b>', '', line)
|
147 |
line = f"<b>{line}</b>"
|
148 |
else:
|
149 |
line = f"<b>{line}</b>"
|
|
|
150 |
pdf_content.append(line)
|
|
|
151 |
total_lines = len(pdf_content)
|
152 |
return pdf_content, total_lines
|
153 |
|
|
|
154 |
def create_pdf(markdown_text, base_font_size, render_with_bold, auto_bold_numbers, enlarge_numbered, num_columns):
|
|
|
155 |
buffer = io.BytesIO()
|
156 |
page_width = A4[0] * 2
|
157 |
page_height = A4[1]
|
|
|
159 |
styles = getSampleStyleSheet()
|
160 |
spacer_height = 10
|
161 |
pdf_content, total_lines = markdown_to_pdf_content(markdown_text, render_with_bold, auto_bold_numbers)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
162 |
try:
|
163 |
available_font_files = glob.glob("*.ttf")
|
164 |
if not available_font_files:
|
165 |
+
st.error("No .ttf font files found.")
|
166 |
return
|
167 |
+
selected_font_path = next((f for f in available_font_files if "NotoEmoji-Bold" in f), None)
|
|
|
|
|
|
|
|
|
168 |
if selected_font_path:
|
169 |
pdfmetrics.registerFont(TTFont("NotoEmoji-Bold", selected_font_path))
|
170 |
pdfmetrics.registerFont(TTFont("DejaVuSans", "DejaVuSans.ttf"))
|
171 |
except Exception as e:
|
172 |
st.error(f"Font registration error: {e}")
|
173 |
return
|
174 |
+
total_chars = sum(len(line) for line in pdf_content)
|
175 |
+
hierarchy_weight = sum(1.5 if line.startswith("<b>") else 1 for line in pdf_content)
|
176 |
+
content_density = total_lines * hierarchy_weight + total_chars / 50
|
177 |
+
usable_height = page_height - 72 - spacer_height
|
178 |
+
usable_width = page_width - 72
|
179 |
+
avg_line_chars = total_chars / total_lines if total_lines > 0 else 50
|
180 |
+
ideal_lines_per_col = 20
|
181 |
+
suggested_columns = max(1, min(6, int(total_lines / ideal_lines_per_col) + 1))
|
182 |
+
num_columns = num_columns if num_columns != 0 else suggested_columns
|
183 |
+
col_width = usable_width / num_columns
|
184 |
+
min_font_size = 6
|
185 |
+
max_font_size = 16
|
186 |
+
lines_per_col = total_lines / num_columns if num_columns > 0 else total_lines
|
187 |
+
target_height_per_line = usable_height / lines_per_col if lines_per_col > 0 else usable_height
|
188 |
+
estimated_font_size = int(target_height_per_line / 1.5)
|
189 |
+
adjusted_font_size = max(min_font_size, min(max_font_size, estimated_font_size))
|
190 |
+
if avg_line_chars > col_width / adjusted_font_size * 10:
|
191 |
+
adjusted_font_size = int(col_width / (avg_line_chars / 10))
|
192 |
+
adjusted_font_size = max(min_font_size, adjusted_font_size)
|
193 |
+
item_style = ParagraphStyle(
|
194 |
+
'ItemStyle', parent=styles['Normal'], fontName="DejaVuSans",
|
195 |
+
fontSize=adjusted_font_size, leading=adjusted_font_size * 1.15, spaceAfter=1,
|
196 |
+
linkUnderline=True
|
197 |
+
)
|
198 |
+
numbered_bold_style = ParagraphStyle(
|
199 |
+
'NumberedBoldStyle', parent=styles['Normal'], fontName="NotoEmoji-Bold",
|
200 |
+
fontSize=adjusted_font_size + 1 if enlarge_numbered else adjusted_font_size,
|
201 |
+
leading=(adjusted_font_size + 1) * 1.15 if enlarge_numbered else adjusted_font_size * 1.15, spaceAfter=1,
|
202 |
+
linkUnderline=True
|
203 |
+
)
|
204 |
+
section_style = ParagraphStyle(
|
205 |
+
'SectionStyle', parent=styles['Heading2'], fontName="DejaVuSans",
|
206 |
+
textColor=colors.darkblue, fontSize=adjusted_font_size * 1.1, leading=adjusted_font_size * 1.32, spaceAfter=2,
|
207 |
+
linkUnderline=True
|
208 |
+
)
|
209 |
columns = [[] for _ in range(num_columns)]
|
210 |
lines_per_column = total_lines / num_columns if num_columns > 0 else total_lines
|
211 |
current_line_count = 0
|
212 |
current_column = 0
|
213 |
number_pattern = re.compile(r'^\d+\.\s')
|
|
|
214 |
for item in pdf_content:
|
215 |
if current_line_count >= lines_per_column and current_column < num_columns - 1:
|
216 |
current_column += 1
|
217 |
current_line_count = 0
|
218 |
columns[current_column].append(item)
|
219 |
current_line_count += 1
|
|
|
|
|
220 |
column_cells = [[] for _ in range(num_columns)]
|
221 |
for col_idx, column in enumerate(columns):
|
222 |
for item in column:
|
|
|
228 |
column_cells[col_idx].append(Paragraph(apply_emoji_font(content, "NotoEmoji-Bold"), section_style))
|
229 |
else:
|
230 |
column_cells[col_idx].append(Paragraph(apply_emoji_font(item, "DejaVuSans"), item_style))
|
|
|
|
|
231 |
max_cells = max(len(cells) for cells in column_cells) if column_cells else 0
|
232 |
for cells in column_cells:
|
233 |
cells.extend([Paragraph("", item_style)] * (max_cells - len(cells)))
|
|
|
|
|
|
|
234 |
table_data = list(zip(*column_cells)) if column_cells else [[]]
|
235 |
table = Table(table_data, colWidths=[col_width] * num_columns, hAlign='CENTER')
|
236 |
table.setStyle(TableStyle([
|
|
|
244 |
('TOPPADDING', (0, 0), (-1, -1), 1),
|
245 |
('BOTTOMPADDING', (0, 0), (-1, -1), 1),
|
246 |
]))
|
|
|
|
|
247 |
story = [Spacer(1, spacer_height), table]
|
248 |
doc.build(story)
|
249 |
buffer.seek(0)
|
250 |
return buffer.getvalue()
|
251 |
|
|
|
252 |
def pdf_to_image(pdf_bytes):
|
|
|
253 |
try:
|
254 |
doc = fitz.open(stream=pdf_bytes, filetype="pdf")
|
255 |
images = []
|
|
|
263 |
st.error(f"Failed to render PDF preview: {e}")
|
264 |
return None
|
265 |
|
|
|
266 |
md_files = [f for f in glob.glob("*.md") if os.path.basename(f) != "README.md"]
|
267 |
md_options = [os.path.splitext(os.path.basename(f))[0] for f in md_files]
|
268 |
|
|
|
269 |
with st.sidebar:
|
270 |
st.markdown("### PDF Options")
|
271 |
if md_options:
|
|
|
276 |
st.warning("No markdown file found. Please add one to your folder.")
|
277 |
selected_md = None
|
278 |
st.session_state.markdown_content = ""
|
|
|
279 |
available_font_files = {os.path.splitext(os.path.basename(f))[0]: f for f in glob.glob("*.ttf")}
|
280 |
selected_font_name = st.selectbox("Select Emoji Font", options=list(available_font_files.keys()),
|
281 |
index=list(available_font_files.keys()).index("NotoEmoji-Bold") if "NotoEmoji-Bold" in available_font_files else 0)
|
|
|
283 |
render_with_bold = st.checkbox("Render with Bold Formatting (remove ** markers)", value=True, key="render_with_bold")
|
284 |
auto_bold_numbers = st.checkbox("Auto Bold Numbered Lines", value=True, key="auto_bold_numbers")
|
285 |
enlarge_numbered = st.checkbox("Enlarge Font Size for Numbered Lines", value=True, key="enlarge_numbered")
|
286 |
+
column_options = ["Auto"] + list(range(1, 7))
|
287 |
+
num_columns = st.selectbox("Number of Columns", options=column_options, index=0)
|
288 |
+
num_columns = 0 if num_columns == "Auto" else int(num_columns)
|
289 |
+
st.info("Font size and columns adjust to fit one page.")
|
290 |
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}")
|
291 |
if st.button("Update PDF"):
|
292 |
st.session_state.markdown_content = edited_markdown
|
|
|
294 |
with open(f"{selected_md}.md", "w", encoding="utf-8") as f:
|
295 |
f.write(edited_markdown)
|
296 |
st.rerun()
|
|
|
|
|
297 |
prefix = get_timestamp_prefix()
|
|
|
|
|
298 |
st.download_button(
|
299 |
label="πΎπ Save Markdown",
|
300 |
data=st.session_state.markdown_content,
|
301 |
file_name=f"{prefix} {selected_md}.md" if selected_md else f"{prefix} default.md",
|
302 |
mime="text/markdown"
|
303 |
)
|
|
|
304 |
st.markdown("### Text-to-Speech")
|
305 |
VOICES = ["en-US-AriaNeural", "en-US-JennyNeural", "en-GB-SoniaNeural", "en-US-GuyNeural", "en-US-AnaNeural"]
|
306 |
selected_voice = st.selectbox("Select Voice for TTS", options=VOICES, index=0)
|
307 |
if st.button("Generate Audio"):
|
|
|
308 |
cleaned_text = clean_for_speech(st.session_state.markdown_content)
|
|
|
309 |
audio_filename = f"{prefix} {selected_md} {selected_voice}.mp3" if selected_md else f"{prefix} default {selected_voice}.mp3"
|
310 |
audio_file = asyncio.run(generate_audio(cleaned_text, selected_voice, audio_filename))
|
311 |
st.audio(audio_file)
|
|
|
318 |
mime="audio/mpeg"
|
319 |
)
|
320 |
|
|
|
321 |
with st.spinner("Generating PDF..."):
|
322 |
pdf_bytes = create_pdf(st.session_state.markdown_content, base_font_size, render_with_bold, auto_bold_numbers, enlarge_numbered, num_columns)
|
323 |
|
|
|
324 |
with st.container():
|
325 |
pdf_images = pdf_to_image(pdf_bytes)
|
326 |
if pdf_images:
|
|
|
329 |
else:
|
330 |
st.info("Download the PDF to view it locally.")
|
331 |
|
|
|
332 |
with st.sidebar:
|
333 |
st.download_button(
|
334 |
label="πΎπ Save PDF",
|