Update app.py
Browse files
app.py
CHANGED
@@ -1,10 +1,9 @@
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import os
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import urllib.request
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import io
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import re
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import streamlit as st
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#
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st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
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from PIL import Image
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@@ -17,41 +16,30 @@ 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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#
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"
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"
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"
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"
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"
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"
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st.info(f"Downloading {font_file}...")
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try:
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urllib.request.urlretrieve(base_font_url + font_file, font_file)
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st.success(f"Downloaded {font_file}")
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except Exception as e:
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st.error(f"Failed to download {font_file}: {e}")
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# --- Step 2: Allow User to Select the Emoji Font ---
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font_display_names = {f: f.replace(".ttf", "") for f in font_files}
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selected_font_file = st.sidebar.selectbox(
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"Select Emoji Font",
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options=font_files,
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format_func=lambda f: font_display_names[f]
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)
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pdfmetrics.registerFont(TTFont(
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#
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default_markdown = """# Cutting-Edge ML Outline
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## Core ML Techniques
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@@ -119,7 +107,8 @@ default_markdown = """# Cutting-Edge ML Outline
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- Documentation synthesis
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"""
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#
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def markdown_to_pdf_content(markdown_text):
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lines = markdown_text.strip().split('\n')
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pdf_content = []
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@@ -133,7 +122,7 @@ def markdown_to_pdf_content(markdown_text):
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continue
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if line.startswith('# '):
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# Optionally skip main title
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pass
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elif line.startswith('## '):
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if current_item and sub_items:
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@@ -164,7 +153,8 @@ def markdown_to_pdf_content(markdown_text):
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return left_column, right_column
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#
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def create_main_pdf(markdown_text, base_font_size=10, auto_size=False):
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buffer = io.BytesIO()
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doc = SimpleDocTemplate(
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@@ -178,181 +168,12 @@ def create_main_pdf(markdown_text, base_font_size=10, auto_size=False):
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styles = getSampleStyleSheet()
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story = []
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spacer_height = 10
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left_column, right_column = markdown_to_pdf_content(markdown_text)
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total_items = 0
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for col in (left_column, right_column):
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for item in col:
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if isinstance(item, list):
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main_item, sub_items
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total_items += 1 + len(sub_items)
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else:
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total_items += 1
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if auto_size:
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base_font_size = max(6, min(12, 200 / total_items))
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item_font_size = base_font_size
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subitem_font_size = base_font_size * 0.9
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section_font_size = base_font_size * 1.2
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title_font_size = min(16, base_font_size * 1.5)
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title_style = ParagraphStyle(
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'Heading1',
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parent=styles['Heading1'],
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fontName=registered_font_name,
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textColor=colors.darkblue,
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alignment=1,
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fontSize=title_font_size
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)
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section_style = ParagraphStyle(
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'SectionStyle',
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parent=styles['Heading2'],
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fontName=registered_font_name,
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textColor=colors.darkblue,
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fontSize=section_font_size,
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leading=section_font_size * 1.2,
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spaceAfter=2
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)
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item_style = ParagraphStyle(
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'ItemStyle',
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parent=styles['Normal'],
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fontName=registered_font_name,
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fontSize=item_font_size,
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leading=item_font_size * 1.2,
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spaceAfter=1
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)
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subitem_style = ParagraphStyle(
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'SubItemStyle',
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parent=styles['Normal'],
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fontName=registered_font_name,
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fontSize=subitem_font_size,
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leading=subitem_font_size * 1.2,
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leftIndent=10,
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spaceAfter=1
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)
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story.append(Paragraph("Cutting-Edge ML Outline (ReportLab)", title_style))
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story.append(Spacer(1, spacer_height))
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left_cells = []
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for item in left_column:
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if isinstance(item, str) and item.startswith('<b>'):
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text = item.replace('<b>', '').replace('</b>', '')
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left_cells.append(Paragraph(text, section_style))
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elif isinstance(item, list):
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main_item, sub_items = item
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left_cells.append(Paragraph(main_item, item_style))
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for sub_item in sub_items:
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left_cells.append(Paragraph(sub_item, subitem_style))
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else:
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left_cells.append(Paragraph(item, item_style))
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right_cells = []
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for item in right_column:
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if isinstance(item, str) and item.startswith('<b>'):
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text = item.replace('<b>', '').replace('</b>', '')
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right_cells.append(Paragraph(text, section_style))
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elif isinstance(item, list):
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main_item, sub_items = item
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right_cells.append(Paragraph(main_item, item_style))
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for sub_item in sub_items:
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right_cells.append(Paragraph(sub_item, subitem_style))
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else:
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right_cells.append(Paragraph(item, item_style))
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max_cells = max(len(left_cells), len(right_cells))
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left_cells.extend([""] * (max_cells - len(left_cells)))
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right_cells.extend([""] * (max_cells - len(right_cells)))
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table_data = list(zip(left_cells, right_cells))
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col_width = (A4[1] - 72) / 2.0
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table = Table(table_data, colWidths=[col_width, col_width], 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), (0, -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.append(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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# --- Function to Convert PDF Bytes to Image (for Preview) ---
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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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page = doc[0]
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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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doc.close()
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return img
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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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# --- Sidebar UI for Additional Settings ---
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with st.sidebar:
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auto_size = st.checkbox("Auto-size text", value=True)
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if not auto_size:
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base_font_size = st.slider("Base Font Size (points)", min_value=6, max_value=16, value=10, step=1)
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else:
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base_font_size = 10
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st.info("Font size will auto-adjust between 6-12 points based on content length.")
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# --- Persist Markdown Content in Session State ---
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if 'markdown_content' not in st.session_state:
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st.session_state.markdown_content = default_markdown
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# --- Generate PDF ---
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with st.spinner("Generating PDF..."):
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pdf_bytes = create_main_pdf(st.session_state.markdown_content, base_font_size, auto_size)
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# --- Display PDF Preview in UI ---
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with st.container():
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pdf_image = pdf_to_image(pdf_bytes)
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if pdf_image:
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st.image(pdf_image, use_container_width=True)
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else:
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st.info("Download the PDF to view it locally.")
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# --- PDF Download Button ---
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st.download_button(
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label="Download PDF",
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data=pdf_bytes,
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file_name="ml_outline.pdf",
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mime="application/pdf"
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)
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# --- Markdown Editor ---
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edited_markdown = st.text_area(
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"Modify the markdown content below:",
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value=st.session_state.markdown_content,
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height=300
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)
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# --- Update PDF on Button Click ---
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if st.button("Update PDF"):
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st.session_state.markdown_content = edited_markdown
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st.experimental_rerun()
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# --- Markdown Download Button ---
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st.download_button(
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label="Save Markdown",
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data=st.session_state.markdown_content,
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file_name="ml_outline.md",
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mime="text/markdown"
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)
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import os
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import io
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import re
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import streamlit as st
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# Must be the first Streamlit command.
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st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
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from PIL import Image
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from reportlab.pdfbase import pdfmetrics
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from reportlab.pdfbase.ttfonts import TTFont
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# ---------------------------------------------------------------
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# Define available NotoEmoji fonts (local files)
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# One font is at the root and others are in the 'static' subdirectory.
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available_fonts = {
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"NotoEmoji Variable": "NotoEmoji-VariableFont_wght.ttf",
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"NotoEmoji Bold": "NotoEmoji-Bold.ttf",
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"NotoEmoji Light": "NotoEmoji-Light.ttf",
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"NotoEmoji Medium": "NotoEmoji-Medium.ttf",
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"NotoEmoji Regular": "NotoEmoji-Regular.ttf",
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"NotoEmoji SemiBold": "NotoEmoji-SemiBold.ttf"
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}
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# Sidebar: Let the user choose the desired NotoEmoji font.
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selected_font_name = st.sidebar.selectbox(
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"Select NotoEmoji Font",
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options=list(available_fonts.keys())
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)
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selected_font_path = available_fonts[selected_font_name]
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# Register the chosen font with ReportLab.
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pdfmetrics.registerFont(TTFont(selected_font_name, selected_font_path))
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# ---------------------------------------------------------------
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# Default markdown content with emojis.
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default_markdown = """# Cutting-Edge ML Outline
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## Core ML Techniques
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- Documentation synthesis
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"""
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# ---------------------------------------------------------------
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# Process markdown into PDF content.
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def markdown_to_pdf_content(markdown_text):
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lines = markdown_text.strip().split('\n')
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pdf_content = []
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continue
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if line.startswith('# '):
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# Optionally skip the main title.
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pass
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elif line.startswith('## '):
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if current_item and sub_items:
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return left_column, right_column
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# ---------------------------------------------------------------
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# Create PDF using ReportLab.
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def create_main_pdf(markdown_text, base_font_size=10, auto_size=False):
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buffer = io.BytesIO()
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doc = SimpleDocTemplate(
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styles = getSampleStyleSheet()
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story = []
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spacer_height = 10
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left_column, right_column = markdown_to_pdf_content(markdown_text)
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# Count total items to possibly adjust font size.
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total_items = 0
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for col in (left_column, right_column):
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for item in col:
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if isinstance(item, list):
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main_item, sub_items
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