【AI FOR DEVS】Part 2: Empowering Yoga with AI: Integrating GPT Vision in Streamlit for Interactive Video Analysis



AI FOR DEVS :Part 2: Empowering Yoga with AI: Integrating GPT Vision in Streamlit for Interactive Video Analysis

Part 2: Empowering Yoga with AI: Integrating GPT Vision in Streamlit for Interactive Video Analysis

Master enhancing web apps with Streamlit for video uploads and automated voiceovers in our step-by-step tutorial, covering integration to testing.

Github: https://github.com/AI-ITSecSimplified/yoga

Explore how to enhance a web app with Streamlit, allowing for video uploads and automated voiceover generation, in this step-by-step tutorial. We’ll walk through integrating Streamlit, encapsulating core functionalities into methods, and testing the complete setup for a seamless user experience.

0:00 – Introduction: Brief overview of what the video will cover.
0:45 – Streamlit Integration: Adding Streamlit to the new main method.
0:53 – Web App Test: Conducting an initial test of the new web app.
1:17 – Method Encapsulation: Creating two new methods to encapsulate the logic.
3:10 – Voiceover Generation Trigger: Implementing functionality to initiate voiceover generation from the frontend.
3:55 – Frontend Functionality Test: Testing the updated frontend with video upload and voiceover generation capabilities.

🔗 Elevate Your Skills: Masterclass on AI & Autonomous Agents for Web Developers – Learn More Here: https://ai-for-devs.com

Part 1: https://youtu.be/8VHbNHbQbhs
Part 2: https://youtu.be/E93d0Wv-A4Y
Part 3: https://youtu.be/uMAtl2g7Wd4