vergabe/docs

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

PDF Content Processor and Text Generator

This Streamlit app extracts content from a PDF file, structures it into headings and content, and then generates new text based on user input and the PDF structure.

Features

• —PDF content extraction
• —Content structuring into headings and bullet points
• —Text generation based on extracted content and user prompts
• —Separate LLM requests for each heading topic

Setup and Running

1. 1.Install the required dependencies:

   pip install -r requirements.txt

1. 1.Run the Streamlit app:

   streamlit run app.py

1. 1.Open the provided URL in your web browser.

Usage

1. 1.Upload a PDF file using the file uploader.
2. 2.The app will extract and structure the content, displaying it as JSON.
3. 3.Enter a prompt in the text input field.
4. 4.The app will generate new text for each heading based on the prompt and the extracted content.

Note

This app uses a simple GPT-2 model for demonstration purposes. For production use, consider using a more advanced model or API for better results.