Maurice Snipes’ Post

In my latest Medium blog, I dive deep into how to use the Gemini-1.5-Flash-Pro-001 model to generate chapters for YouTube videos. We'll explore two methods: Method 1: Using the YouTube Transcription API and Gemini's text generation prowess to create chapters from very long transcripts given their 1M token context window. Method 2: Leveraging Gemini's multimodal capabilities to directly analyze YouTube videos (perfect for video owners!). Plus, I'll show you how to present these chapters in a user-friendly format (JSON, Dataframes) and even visualize them in a cool Gradio app. Ready to transform your YouTube experience? Check out the full blog post here: https://lnkd.in/gPCnMhMy #GenAI #YouTube #Gemini #GoogleCloud #AI

In my latest Medium blog, I dive deep into how to use the Gemini-1.5-Flash-Pro-001 model to generate chapters for YouTube videos. We'll explore two methods: Method 1: Using the YouTube Transcription API and Gemini's text generation prowess to create chapters from very long transcripts given their 1M token context window. Method 2: Leveraging Gemini's multimodal capabilities to directly analyze YouTube videos (perfect for video owners!). Plus, I'll show you how to present these chapters in a user-friendly format (JSON, Dataframes) and even visualize them in a cool Gradio app. Ready to transform your YouTube experience? Check out the full blog post here: https://lnkd.in/gPCnMhMy #GenAI #YouTube #Gemini #GoogleCloud #AI

In my latest Medium blog, I dive deep into how to use the Gemini-1.5-Flash-Pro-001 model to generate chapters for YouTube videos. We'll explore two methods: Method 1: Using the YouTube Transcription API and Gemini's text generation prowess to create chapters from very long transcripts given their 1M token context window. Method 2: Leveraging Gemini's multimodal capabilities to directly analyze YouTube videos (perfect for video owners!). Plus, I'll show you how to present these chapters in a user-friendly format (JSON, Dataframes) and even visualize them in a cool Gradio app. Ready to transform your YouTube experience? Check out the full blog post here: https://lnkd.in/gPCnMhMy #GenAI #YouTube #Gemini #GoogleCloud #AI

In my latest Medium blog, I dive deep into how to use the Gemini-1.5-Flash-Pro-001 model to generate chapters for YouTube videos. We'll explore two methods: Method 1: Using the YouTube Transcription API and Gemini's text generation prowess to create chapters from very long transcripts given their 1M token context window. Method 2: Leveraging Gemini's multimodal capabilities to directly analyze YouTube videos (perfect for video owners!). Plus, I'll show you how to present these chapters in a user-friendly format (JSON, Dataframes) and even visualize them in a cool Gradio app. Ready to transform your YouTube experience? Check out the full blog post here: https://lnkd.in/gPCnMhMy #GenAI #YouTube #Gemini #GoogleCloud #AI

In my latest Medium blog, I dive deep into how to use the Gemini-1.5-Flash-Pro-001 model to generate chapters for YouTube videos. We'll explore two methods: Method 1: Using the YouTube Transcription API and Gemini's text generation prowess to create chapters from very long transcripts given their 1M token context window. Method 2: Leveraging Gemini's multimodal capabilities to directly analyze YouTube videos (perfect for video owners!). Plus, I'll show you how to present these chapters in a user-friendly format (JSON, Dataframes) and even visualize them in a cool Gradio app. Ready to transform your YouTube experience? Check out the full blog post here: https://lnkd.in/gPCnMhMy #GenAI #YouTube #Gemini #GoogleCloud #AI

In my latest Medium blog, I dive deep into how to use the Gemini-1.5-Flash-Pro-001 model to generate chapters for YouTube videos. We'll explore two methods: Method 1: Using the YouTube Transcription API and Gemini's text generation prowess to create chapters from very long transcripts given their 1M token context window. Method 2: Leveraging Gemini's multimodal capabilities to directly analyze YouTube videos (perfect for video owners!). Plus, I'll show you how to present these chapters in a user-friendly format (JSON, Dataframes) and even visualize them in a cool Gradio app. Ready to transform your YouTube experience? Check out the full blog post here: https://lnkd.in/gPCnMhMy #GenAI #YouTube #Gemini #GoogleCloud #AI

In my latest Medium blog, I dive deep into how to use the Gemini-1.5-Flash-Pro-001 model to generate chapters for YouTube videos. We'll explore two methods: Method 1: Using the YouTube Transcription API and Gemini's text generation prowess to create chapters from very long transcripts given their 1M token context window. Method 2: Leveraging Gemini's multimodal capabilities to directly analyze YouTube videos (perfect for video owners!). Plus, I'll show you how to present these chapters in a user-friendly format (JSON, Dataframes) and even visualize them in a cool Gradio app. Ready to transform your YouTube experience? Check out the full blog post here: https://lnkd.in/gPCnMhMy #GenAI #YouTube #Gemini #GoogleCloud #AI

In my latest Medium blog, I dive deep into how to use the Gemini-1.5-Flash-Pro-001 model to generate chapters for YouTube videos. We'll explore two methods: Method 1: Using the YouTube Transcription API and Gemini's text generation prowess to create chapters from very long transcripts given their 1M token context window. Method 2: Leveraging Gemini's multimodal capabilities to directly analyze YouTube videos (perfect for video owners!). Plus, I'll show you how to present these chapters in a user-friendly format (JSON, Dataframes) and even visualize them in a cool Gradio app. Ready to transform your YouTube experience? Check out the full blog post here: https://lnkd.in/gPCnMhMy #GenAI #YouTube #Gemini #GoogleCloud #AI

In my latest Medium blog, I dive deep into how to use the Gemini-1.5-Flash-Pro-001 model to generate chapters for YouTube videos. We'll explore two methods: Method 1: Using the YouTube Transcription API and Gemini's text generation prowess to create chapters from very long transcripts given their 1M token context window. Method 2: Leveraging Gemini's multimodal capabilities to directly analyze YouTube videos (perfect for video owners!). Plus, I'll show you how to present these chapters in a user-friendly format (JSON, Dataframes) and even visualize them in a cool Gradio app. Ready to transform your YouTube experience? Check out the full blog post here: https://lnkd.in/gPCnMhMy #GenAI #YouTube #Gemini #GoogleCloud #AI

In my latest Medium blog, I dive deep into how to use the Gemini-1.5-Flash-Pro-001 model to generate chapters for YouTube videos. We'll explore two methods: Method 1: Using the YouTube Transcription API and Gemini's text generation prowess to create chapters from very long transcripts given their 1M token context window. Method 2: Leveraging Gemini's multimodal capabilities to directly analyze YouTube videos (perfect for video owners!). Plus, I'll show you how to present these chapters in a user-friendly format (JSON, Dataframes) and even visualize them in a cool Gradio app. Ready to transform your YouTube experience? Check out the full blog post here: https://lnkd.in/gPCnMhMy #GenAI #YouTube #Gemini #GoogleCloud #AI