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gh-k-dense-ai-claude-scient…/skills/denario/references/installation.md
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# Installation Guide
## System Requirements
- **Python**: Version 3.12 or higher (required)
- **Operating System**: Linux, macOS, or Windows
- **Virtual Environment**: Recommended for isolation
- **LaTeX**: Required for paper generation (or use Docker)
## Installation Methods
### Method 1: Using uv (Recommended)
The uv package manager provides fast, reliable dependency resolution:
```bash
# Initialize a new project
uv init
# Add denario with app support
uv add "denario[app]"
```
### Method 2: Alternative Installation
Alternative installation using pip:
```bash
# Create virtual environment (recommended)
python3 -m venv denario_env
source denario_env/bin/activate # On Windows: denario_env\Scripts\activate
# Install denario
uv pip install "denario[app]"
```
### Method 3: Building from Source
For development or customization:
```bash
# Clone the repository
git clone https://github.com/AstroPilot-AI/Denario.git
cd Denario
# Create virtual environment
python3 -m venv Denario_env
source Denario_env/bin/activate
# Install in editable mode
uv pip install -e .
```
### Method 4: Docker Deployment
Docker provides a complete environment with all dependencies including LaTeX:
```bash
# Pull the official image
docker pull pablovd/denario:latest
# Run the container with GUI
docker run -p 8501:8501 --rm pablovd/denario:latest
# Run with environment variables (for API keys)
docker run -p 8501:8501 --env-file .env --rm pablovd/denario:latest
```
Access the GUI at `http://localhost:8501` after the container starts.
## Verifying Installation
After installation, verify denario is available:
```python
# Test import
python -c "from denario import Denario; print('Denario installed successfully')"
```
Or check the version:
```bash
python -c "import denario; print(denario.__version__)"
```
## Launching the Application
### Command-Line Interface
Run the graphical user interface:
```bash
denario run
```
This launches a web-based Streamlit application for interactive research workflow management.
### Programmatic Usage
Use denario directly in Python scripts:
```python
from denario import Denario
den = Denario(project_dir="./my_project")
# Continue with workflow...
```
## Dependencies
Denario automatically installs key dependencies:
- **AG2**: Agent orchestration framework
- **LangGraph**: Graph-based agent workflows
- **pandas**: Data manipulation
- **scikit-learn**: Machine learning tools
- **matplotlib/seaborn**: Visualization
- **streamlit**: GUI framework (with `[app]` extra)
## LaTeX Setup
For paper generation, LaTeX must be available:
### Linux
```bash
sudo apt-get install texlive-full
```
### macOS
```bash
brew install --cask mactex
```
### Windows
Download and install [MiKTeX](https://miktex.org/download) or [TeX Live](https://tug.org/texlive/).
### Docker Alternative
The Docker image includes a complete LaTeX installation, eliminating manual setup.
## Troubleshooting Installation
### Python Version Issues
Ensure Python 3.12+:
```bash
python --version
```
If older, install a newer version or use pyenv for version management.
### Virtual Environment Activation
**Linux/macOS:**
```bash
source venv/bin/activate
```
**Windows:**
```bash
venv\Scripts\activate
```
### Permission Errors
Use `--user` flag or virtual environments:
```bash
uv pip install --user "denario[app]"
```
### Docker Port Conflicts
If port 8501 is in use, map to a different port:
```bash
docker run -p 8502:8501 --rm pablovd/denario:latest
```
### Package Conflicts
Create a fresh virtual environment to avoid dependency conflicts.
## Updating Denario
### uv
```bash
uv add --upgrade denario
```
### pip
```bash
uv pip install --upgrade "denario[app]"
```
### Docker
```bash
docker pull pablovd/denario:latest
```
## Uninstallation
### uv
```bash
uv remove denario
```
### pip
```bash
uv pip uninstall denario
```
### Docker
```bash
docker rmi pablovd/denario:latest
```