PaperToSlides

🚀 PaperToSlides is an AI-driven tool designed to automatically convert academic papers in PDF format into polished presentation slides—perfect for research group meetings, conference rehearsals, and quick paper summaries.

Key Features

• 📄 Efficient Content Extraction: Utilizes MinerU for high-quality content extraction from academic PDFs.
• 🤖 AI-Powered Summarization: Integrates OpenAI’s API to interpret and summarize the paper's content, including both text and visual data.
• 🎨 Slide Generation: Produces a structured, ready-to-present PowerPoint file.
• 🖼️ Visual Preservation: Retains original figures, tables, and images, ensuring content integrity.
• 📊 Presentation-Ready: Tailored for academic settings, making it ideal for presentations, discussions, and research insights.

Use Cases

• 📘 Research Paper Presentations: Summarize and present papers with minimal manual preparation.
• 👥 Academic Group Meetings: Share findings efficiently in lab or study group settings.
• 🎤 Conference Rehearsals: Practice presenting key points ahead of conferences.
• 🔍 Quick Overviews: Generate concise summaries for rapid information sharing.

Installation and Setup

To get started, follow these steps:

1. Clone this repository:

   git clone [https://github.com/yourusername/PaperToSlides.git]
   cd PaperToSlides

2. Set up MinerU and dependencies:

   cd MinerU
   git clone https://github.com/opendatalab/MinerU.git && cd ..

3. Create a virtual environment:

   conda create -n MinerU python=3.10
   conda activate MinerU

4. Install dependencies:

   pip install magic-pdf[full]==0.7.0b1 --extra-index-url https://wheels.myhloli.com
   pip install python-pptx

5. Set up model weights using Git LFS:

   cd model
   git lfs clone https://huggingface.co/wanderkid/PDF-Extract-Kit

6. Configuration: Update magic-pdf.json to specify the models-dir and cuda settings according to your environment.