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skills/paper-2-web/references/installation.md
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skills/paper-2-web/references/installation.md
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# Installation and Configuration
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## System Requirements
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### Hardware Requirements
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- **GPU**: NVIDIA A6000 (48GB minimum) required for video generation with talking-head features
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- **CPU**: Multi-core processor recommended for PDF processing and document conversion
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- **RAM**: 16GB minimum, 32GB recommended for large papers
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### Software Requirements
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- **Python**: 3.11 or higher
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- **LibreOffice**: Required for document format conversion (PDF to PPTX, etc.)
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- **Poppler utilities**: Required for PDF processing and manipulation
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## Installation Steps
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### 1. Clone the Repository
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```bash
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git clone https://github.com/YuhangChen1/Paper2All.git
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cd Paper2All
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```
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### 2. Install Dependencies
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```bash
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uv pip install -r requirements.txt
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```
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### 3. Install System Dependencies
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**Ubuntu/Debian:**
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```bash
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sudo apt-get install libreoffice poppler-utils
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```
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**macOS:**
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```bash
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brew install libreoffice poppler
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```
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**Windows:**
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- Download and install LibreOffice from https://www.libreoffice.org/
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- Download and install Poppler from https://github.com/oschwartz10612/poppler-windows
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## API Configuration
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Create a `.env` file in the project root with the following credentials:
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### Required API Keys
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**Option 1: OpenAI API**
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```
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OPENAI_API_KEY=your_openai_api_key_here
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```
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**Option 2: OpenRouter API** (alternative to OpenAI)
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```
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OPENROUTER_API_KEY=your_openrouter_api_key_here
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```
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### Optional API Keys
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**Google Search API** (for automatic logo discovery)
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```
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GOOGLE_API_KEY=your_google_api_key_here
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GOOGLE_CSE_ID=your_custom_search_engine_id_here
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```
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## Model Configuration
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The system supports multiple LLM backends:
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### Supported Models
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- GPT-4 (recommended for best quality)
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- GPT-4.1 (latest version)
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- GPT-3.5-turbo (faster, lower cost)
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- Claude models via OpenRouter
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- Other OpenRouter-supported models
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### Model Selection
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Specify models using the `--model-choice` parameter or `--model_name_t` and `--model_name_v` parameters:
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- Model choice 1: GPT-4 for all components
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- Model choice 2: GPT-4.1 for all components
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- Custom: Specify separate models for text and visual processing
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## Verification
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Test the installation:
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```bash
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python pipeline_all.py --help
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```
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If successful, you should see the help menu with all available options.
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## Troubleshooting
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### Common Issues
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**1. LibreOffice not found**
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- Ensure LibreOffice is installed and in your system PATH
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- Try running `libreoffice --version` to verify
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**2. Poppler utilities not found**
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- Verify installation with `pdftoppm -v`
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- Add Poppler bin directory to PATH if needed
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**3. GPU/CUDA errors for video generation**
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- Ensure NVIDIA drivers are up to date
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- Verify CUDA toolkit is installed
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- Check GPU memory with `nvidia-smi`
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**4. API key errors**
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- Verify `.env` file is in the project root
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- Check that API keys are valid and have sufficient credits
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- Ensure no extra spaces or quotes around keys in `.env`
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## Directory Structure
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After installation, organize your workspace:
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```
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Paper2All/
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├── .env # API credentials
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├── input/ # Place your paper files here
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│ └── paper_name/ # Each paper in its own directory
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│ └── main.tex # LaTeX source or PDF
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├── output/ # Generated outputs
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│ └── paper_name/
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│ ├── website/ # Generated website files
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│ ├── video/ # Generated video files
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│ └── poster/ # Generated poster files
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└── ...
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```
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