"Document summarization is a powerful and pretty darn useful feature of generative AI, but a proper "question and answer" system can really enable users to interact with a document. This is why you see various document viewing apps, like Acrobat, adding these features to their programs. I thought I'd take a look at building such a system via a simple web app to see how difficult it would be, and honestly, it wasn't that bad."
"For displaying the PDF, I'm using EmbedPDF. This is a free tool to render PDFs on the web and it's dang cool. The only issue with it currently is a lack of documentation, but that's coming very soon. Once again, I'm using the Google Gemini API for my generative AI features. I know I sound like a broken record, but it's honestly been the easiest GenAI system I've used and with a free tier, it's great for building proof of concepts like what I'm sharing today."
The web app enables drag-and-drop uploading of PDFs, rendering a preview via EmbedPDF on the left and displaying an automatically generated summary on the right. The backend uses Flask and the Google Gemini API to produce document summaries and power a chat-style Q&A interface. Processing time varies with document size, and the chat UI activates after the summary completes. The app leverages EmbedPDF for client-side rendering despite limited documentation. The Gemini API's free tier and straightforward integration make it suitable for proof-of-concept builds. Example interaction accurately identified employment at HERE Technologies in 2020 from a provided resume.
Read at Raymondcamden
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