PosterGen Parser Unit

Parse PDF or Markdown documents into styled HTML posters with LLM-based rendering, then convert to PDF, PNG, DOCX, and PPTX. Additionally, generate poster images and slides images using Gemini's native image generation API.

Prerequisites

• Python 3.12+
• LLM API key (OpenAI, Gemini, or Qwen)
• System dependencies (fonts, Chromium libs)

Quick Start

1. Install

bash install.sh

This will:

• Install UV (Python package manager)
• Install Python 3.12
• Install system dependencies (fonts, Chromium libraries)
• Create virtual environment and install dependencies
• Install Playwright Chromium browser
• Create .env configuration file

2. Configure

Edit .env file with your API credentials:

# OpenAI
TEXT_MODEL="gpt-4.1-2025-04-14"
OPENAI_API_KEY="your-key"
OPENAI_BASE_URL="https://api.openai.com/v1"

# Qwen (MAAS)
TEXT_MODEL="qwen3-vl-235b-a22b-instruct"
OPENAI_API_KEY="your-key"
OPENAI_BASE_URL="https://maas.devops.xiaohongshu.com/v1"

# Gemini
TEXT_MODEL="gemini-3-pro-preview"
RUNWAY_API_KEY="your-key"

3. Run

# Full pipeline: PDF → HTML → PDF/PNG/DOCX
uv run python run.py --pdf_path input.pdf --output_dir ./output

# Markdown → HTML with template
uv run python run.py --md_path input.md --output_dir ./output --template templates/doubao.txt

# Generate poster image (Gemini)
uv run python run.py --md_path input.md --output_dir ./output \
  --output_type poster_image --style academic --density medium

# Generate slides images (Gemini)
uv run python run.py --md_path input.md --output_dir ./output \
  --output_type slides_image --style doraemon --slides_length medium

# Generate XHS slides
uv run python run.py --md_path input.md --output_dir ./output \
  --output_type xhs_slides --style academic --slides_length short

# Convert HTML to multi-modal
uv run python -m mm_output.cli input.html --format all --output-dir ./mm_outputs

4. Run Tests

bash run.sh

Command Reference

Main Entry: run.py

Multi-modal Conversion: mm_output.cli

# Convert HTML to specific format
uv run python -m mm_output.cli input.html --format pdf --output-dir ./out

# Convert to all formats
uv run python -m mm_output.cli input.html --format all --output-dir ./out

# Supported formats: pdf, png, docx, pptx, all

Environment Setup (UV)

This project uses UV for Python package management.

Manual Setup (if install.sh fails)

> Note: The uv.lock file is renamed to uv.lock.txt to avoid tracking. Before using UV, rename it back:

> ```bash

> mv uv.lock.txt uv.lock

> ```

# Install UV
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install Python 3.12
uv python install 3.12

# Create virtual environment
uv venv .venv --python 3.12

# Rename lock file back and sync dependencies
mv uv.lock.txt uv.lock
uv sync

# Install Playwright browsers
uv run playwright install chromium

Dependency Management

# Sync dependencies from pyproject.toml
uv sync

# Add new dependency
uv add package_name

# Lock dependencies
uv lock

Templates

Available templates in templates/:

System Dependencies

Required for non-Docker installation:

# Fonts
fonts-noto-cjk fonts-wqy-zenhei fonts-wqy-microhei

# Chromium libraries
libnss3 libnspr4 libatk1.0-0 libatk-bridge2.0-0 libcups2
libdrm2 libxcomposite1 libxdamage1 libxrandr2 libgbm1
libxshmfence1 libasound2 libpangocairo-1.0-0 libgtk-3-0
libx11-xcb1 libxcursor1 libxi6 libxss1 libxtst6

Install via:

bash install.sh

Troubleshooting

• Chrome not found: Leave CHROME_EXECUTABLE_PATH empty to use Playwright's Chromium
• Chinese characters garbled: Install fonts-noto-cjk
• LLM API errors: Check .env has correct TEXT_MODEL and API key
• Slow first run: Model downloads are cached; subsequent runs are faster

Project Structure

.
├── run.py              # Main entry point
├── run.sh              # Test script
├── parser_unit.py      # PDF/Markdown parsing
├── renderer_unit.py    # HTML rendering

├── mm_output/          # Multi-modal conversion (HTML→PDF/PNG/DOCX/PPTX)
├── paper2slides/       # Image generation (Poster/Slides via Gemini)
├── templates/          # HTML templates
├── install.sh          # Setup script (no options needed)
├── pyproject.toml      # UV configuration
├── uv.lock             # Locked dependencies
└── README.md           # Documentation