Multimodal Data Extraction with Gemini 2.0 Flash and Google GenAI Python SDK

Learn how to leverage the Google Generative AI Python SDK 1.0 for extracting structured data from diverse financial media sources in this 32-minute tutorial video. Explore practical projects including extracting themes from research PDFs, analyzing predictions from podcast episodes, and processing YouTube content using Gemini 2.0 Flash's multimodal capabilities. Master setting up the development environment, implementing API keys, and writing Python code for image understanding, text extraction, and audio processing. Discover techniques for handling large audio files through chunking and ffmpeg, while gaining insights into the cost-effective and powerful features of the large context window. Access complete source code on GitHub to implement these extraction techniques for financial analysis and research purposes.

Syllabus

0:00 Google GenAI Python SDK 1.0 and Gemini 2.0 Flash
0:31 Gemini 2.0 Flash is cheap, multi-modal, and has a large context window
2:00 Project #1 - Extract themes and companies from 126 page Citrini Research PDF
4:00 Project #2 - Extract predictions from Dylan Patel on Lex Fridman podcast
4:57 Why is information from multimodal sources interesting?
6:28 Project #3 - Backtest predictions from financial gurus on YouTube
7:04 Get the Python code on my Github
7:44 Project setup, virtual environment, packages
8:45 Getting a Gemini API Key, setting the environment variable
9:39 Python code - Image understanding of an IPO Pulse image
14:20 Python code - Structured extraction of trade themes from a Substack report
21:27 Python code - Can we do structured extraction on a 5 hour podcast in one API call?
23:53 I still recommend chunking in cases like this
24:48 Shell script - using ffmpeg to split audio files into slices for better results
25:52 Python code - processing a directory of audio files for better structured extraction
26:25 Provocative predictions extracted from the podcast
28:03 The Gemini app can watch Youtube videos and extract information
29:36 Sometimes you can see the future by watching what developers are doing
30:09 Code to process a YouTube video with the API
31:03 Conclusion - Gemini 2.0 Flash is worth it!