PPTAgent: automatic generation and evaluation of PPT presentations, document to PPT

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General Introduction

PPTAgent is an innovative system designed to automatically generate presentations from documents. The system draws on the human approach to creating presentations, using a two-step process to ensure content quality and visualization. In addition, PPTAgent introduces PPTEval, a comprehensive evaluation framework for assessing the quality of presentations across multiple dimensions such as content, design, and coherence.PPTAgent not only generates high-quality slides, but also enhances user productivity and presentation effectiveness through intelligent reference learning and dynamic content generation features.

PPTAgent:自动生成和评估PPT演示文稿,文档转PPT

 

PPTAgent:自动生成和评估PPT演示文稿,文档转PPT

 

Function List

  • Dynamic content generation: Automatically generates a slide show containing text and images.
  • Intelligent Reference Learning: Learning with existing presentations without manual annotation.
  • Comprehensive quality assessment: Evaluate presentations through multiple quality metrics.
  • Two-step generation process: Ensure structure and consistency of slides during the analysis phase and generation phase.
  • Multi-dimensional assessment: Evaluate presentations in terms of content, design and coherence.

 

Using Help

Installation process

  1. Cloning of the PPTAgent repository:
   git clone https://github.com/icip-cas/PPTAgent.git
  1. Go to the project catalog:
   cd PPTAgent
  1. Install the dependencies:
   pip install -r requirements.txt
sudo apt install libreoffice
sudo apt install poppler-utils

Usage Process

  1. Generate Presentation::
    • Analyze the reference presentation:
     python analyze.py --input reference.pptx --output analysis.json
    
    • Generate a new presentation:
     python generate.py --input analysis.json --output new_presentation.pptx
    
  2. Evaluation of presentations::
    • Convert PPTX files to images: bash
      python evals.py pptx2images --input new_presentation.pptx --output images/
    • Evaluate the presentation: bash
      python evals.py eval_experiment --input images/ --output evaluation.json

Main Functions

  • Dynamic content generation: Users simply provide the document and PPTAgent automatically generates a slide show containing text and images, ensuring that the content is accurate and visually appealing.
  • Intelligent Reference Learning: By analyzing existing presentations, PPTAgent is able to learn their structure and content patterns to generate slides with high consistency.
  • Comprehensive quality assessment: Using the PPTEval framework, users can assess the quality of the generated presentations in terms of content, design and coherence.

Detailed Operation Procedure

  1. Prepare the document: Prepare the document that needs to be converted to a presentation in a format that can be PDF, Word, etc.
  2. Run the analysis script: Use an analysis script to extract key information from the document and generate an analysis file.
  3. Generate Slideshow: Based on the analyzed file, run the generation script to generate a slide show containing text and images.
  4. Evaluation slides: Using an evaluation script, the generated slides are converted to images and quality assessed to produce an evaluation report.

With the above steps, users can easily convert documents into high-quality presentations with evaluation tools to ensure their quality and consistency.

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