gh-k-dense-ai-claude-scientific-writer/skills/paper-2-web/references/installation.md

Installation and Configuration

System Requirements

Hardware Requirements

• GPU: NVIDIA A6000 (48GB minimum) required for video generation with talking-head features
• CPU: Multi-core processor recommended for PDF processing and document conversion
• RAM: 16GB minimum, 32GB recommended for large papers

Software Requirements

• Python: 3.11 or higher
• Conda: Environment manager for dependency isolation
• LibreOffice: Required for document format conversion (PDF to PPTX, etc.)
• Poppler utilities: Required for PDF processing and manipulation

Installation Steps

1. Clone the Repository

git clone https://github.com/YuhangChen1/Paper2All.git
cd Paper2All

2. Create Conda Environment

conda create -n paper2all python=3.11
conda activate paper2all

3. Install Dependencies

pip install -r requirements.txt

4. Install System Dependencies

Ubuntu/Debian:

sudo apt-get install libreoffice poppler-utils

macOS:

brew install libreoffice poppler

Windows:

• Download and install LibreOffice from https://www.libreoffice.org/
• Download and install Poppler from https://github.com/oschwartz10612/poppler-windows

API Configuration

Create a .env file in the project root with the following credentials:

Required API Keys

Option 1: OpenAI API

OPENAI_API_KEY=your_openai_api_key_here

Option 2: OpenRouter API (alternative to OpenAI)

OPENROUTER_API_KEY=your_openrouter_api_key_here

Optional API Keys

Google Search API (for automatic logo discovery)

GOOGLE_API_KEY=your_google_api_key_here
GOOGLE_CSE_ID=your_custom_search_engine_id_here

Model Configuration

The system supports multiple LLM backends:

Supported Models

• GPT-4 (recommended for best quality)
• GPT-4.1 (latest version)
• GPT-3.5-turbo (faster, lower cost)
• Claude models via OpenRouter
• Other OpenRouter-supported models

Model Selection

Specify models using the --model-choice parameter or --model_name_t and --model_name_v parameters:

• Model choice 1: GPT-4 for all components
• Model choice 2: GPT-4.1 for all components
• Custom: Specify separate models for text and visual processing

Verification

Test the installation:

python pipeline_all.py --help

If successful, you should see the help menu with all available options.

Troubleshooting

Common Issues

1. LibreOffice not found

• Ensure LibreOffice is installed and in your system PATH
• Try running libreoffice --version to verify

2. Poppler utilities not found

• Verify installation with pdftoppm -v
• Add Poppler bin directory to PATH if needed

3. GPU/CUDA errors for video generation

• Ensure NVIDIA drivers are up to date
• Verify CUDA toolkit is installed
• Check GPU memory with nvidia-smi

4. API key errors

• Verify .env file is in the project root
• Check that API keys are valid and have sufficient credits
• Ensure no extra spaces or quotes around keys in .env

Directory Structure

After installation, organize your workspace:

Paper2All/
├── .env                  # API credentials
├── input/               # Place your paper files here
│   └── paper_name/      # Each paper in its own directory
│       └── main.tex     # LaTeX source or PDF
├── output/              # Generated outputs
│   └── paper_name/
│       ├── website/     # Generated website files
│       ├── video/       # Generated video files
│       └── poster/      # Generated poster files
└── ...