How to Create an LLM-Powered app to Convert Text to Presentation Slides: GenSlide — A Step-by-step…

Creating an LLM-Powered App to Convert Text to Presentation Slides: GenSlide In this guide, you'll learn how to create an application called GenSlide, which leverages Large Language Models (LLMs) to convert written content into PowerPoint slides while maintaining data privacy and avoiding API costs. 1. Create Project Folder: Start by creating a project folder (GenSlide) on your local machine, and set up the necessary file structure and dependencies in requirements.txt. 2. Set Up the Environment: Create a virtual environment and install required packages using Python. Ensure you're using a compatible Python version. 3. Implement LLM Service: Create an LLM service using Flask. Define the LLM model (e.g., Meta-Llama) and prompt details in consts.py, and handle HTTP POST requests to generate summaries in gpt.py. 4. Implement Frontend: Develop the frontend in four Python files: - llm_call.py: Handles POST requests to the LLM server. - slide_deck.py: Uses pptx package to create PowerPoint slides from JSON data. - slide_gen.py: Generates JSON objects for slides and assembles the presentation. - ui.py: Provides a Streamlit-based UI for user input and slide generation. 5. Run the LLM Service: Navigate to the llm-service folder and run the Flask app (gpt.py), downloading the LLM model if needed. 6. Launch the User Interface: Navigate to the frontend folder and run the Streamlit UI (ui.py), allowing users to input text and generate PowerPoint slides. To generate your presentation, input your content into the text box, run the slide generation, and access the created PowerPoint file in the frontend/generated folder. This tool can save time for professionals and students, with potential for further enhancements to support additional input formats. For more details and contributions, check the project's GitHub repository.