Usage

Basic Usage

AutoWriterLLM can be used either through its GUI interface or programmatically.

GUI Interface

To launch the GUI interface:

from autowriterllm.markdown_to_pdf_converter import ConverterGUI

gui = ConverterGUI()
gui.run()

The GUI provides easy access to all conversion features:

Select input markdown files
Choose output PDF location
Configure conversion options
Monitor conversion progress

Programmatic Interface

For programmatic usage:

from autowriterllm.markdown_to_pdf_converter import MarkdownToPDFConverter

converter = MarkdownToPDFConverter()

# Convert single file
converter.convert_to_pdf(
    input_file="path/to/input.md",
    output_file="path/to/output.pdf"
)

# Convert entire book
converter.convert_book(
    toc_file="path/to/toc.md",
    input_dir="path/to/chapters",
    output_file="path/to/book.pdf"
)

Configuration

Create a config.yaml file in your project root:

# API Configuration
api:
  anthropic:
    api_key: "your-api-key"
    model: "claude-3-sonnet-20240229"
    max_tokens: 4096
    temperature: 0.7

# Output Configuration
output:
  directory: "output"
  format: "markdown"

# Logging Configuration
logging:
  level: "INFO"
  file: "logs/autowriter.log"

PDF Conversion

The PDF converter supports various options:

converter = MarkdownToPDFConverter(
    config={
        "pandoc_options": [
            "--pdf-engine=xelatex",
            "--toc",
            "--number-sections"
        ],
        "supported_encodings": ["utf-8", "cp1252"],
        "max_workers": 4
    }
)

Error Handling

The library includes comprehensive error handling:

try:
    converter.convert_to_pdf(input_file="input.md", output_file="output.pdf")
except FileNotFoundError:
    logger.error("Input file not found")
except subprocess.CalledProcessError as e:
    logger.error(f"Conversion failed: {e}")
except Exception as e:
    logger.error(f"Unexpected error: {e}")

For more detailed error handling, enable debug logging:

import logging
logging.basicConfig(level=logging.DEBUG)