llama-d5 0.1.0

A comprehensive document and web page conversion toolkit powered by Llama AI

llama-d5

Llama D5 (llama-d5) is a document processing toolkit within the LlamaSearch AI ecosystem. It appears to focus on document conversion (potentially from various formats to PDF, indicated by llamadoc2pdf) and capturing document representations (like screenshots, suggested by llama_screenshot).

Key Features

• Document Conversion: Includes components for converting document formats, possibly centered around PDF output (llamadoc2pdf/).
• Document Capture: Functionality to capture visual representations of documents, like screenshots (llama_screenshot.py).
• Core Module: Likely orchestrates the conversion and capture processes (core.py).
• Configurable: Supports configuration options (config.py).

Installation

pip install llama-d5
# Or install directly from GitHub for the latest version:
# pip install git+https://github.com/llamasearchai/llama-d5.git

Usage

(Usage examples for document conversion and screenshot generation will be added here.)

# Placeholder for Python client usage
# from llama_d5 import DocProcessor, ConversionConfig

# config = ConversionConfig.load("config.yaml")
# processor = DocProcessor(config)

# # Convert a document to PDF
# pdf_path = processor.convert_to_pdf(input_file="document.docx")
# print(f"PDF saved to: {pdf_path}")

# # Take a screenshot
# screenshot_path = processor.take_screenshot(url="https://example.com", output_file="webpage.png")
# print(f"Screenshot saved to: {screenshot_path}")

Architecture Overview

graph TD
    A[Input Document / URL] --> B{Core Processor (core.py)};
    B -- Conversion Task --> C{Document Converter (llamadoc2pdf/)};
    C --> D[Output PDF];
    B -- Capture Task --> E{Screenshot Tool (llama_screenshot.py)};
    E --> F[Output Image (Screenshot)];

    G[Configuration (config.py)] -- Configures --> B;
    G -- Configures --> C;
    G -- Configures --> E;

    style B fill:#f9f,stroke:#333,stroke-width:2px

1. Input: Accepts a document file or URL.
2. Core Processor: Manages the request and routes it to the appropriate tool.
3. Converter: Handles conversion of input documents into PDF format.
4. Screenshot Tool: Captures a visual representation (screenshot) of a document or webpage.
5. Output: Produces either a PDF file or an image file.
6. Configuration: Settings control the behavior of the conversion and capture tools.

Configuration

(Details on configuring input/output formats, screenshot resolution, conversion options, etc., will be added here.)

Development

Setup

# Clone the repository
git clone https://github.com/llamasearchai/llama-d5.git
cd llama-d5

# Install in editable mode with development dependencies
pip install -e ".[dev]"

Testing

pytest tests/

Contributing

Contributions are welcome! Please refer to CONTRIBUTING.md and submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.